import os, sys, io
import datetime
import joblib
import numpy as np
import matplotlib.pyplot as plt
from tqdm import tqdm_notebook, tnrange
from keras.layers import (Input, Dense, LSTM, Dropout, TimeDistributed,
AveragePooling1D, Flatten, InputLayer, BatchNormalization)
from keras.layers.core import Reshape
from keras.models import Model, Sequential
from keras.optimizers import Adam
from keras.callbacks import TensorBoard
from keras import initializers
import tensorflow as tf
from sklearn import model_selection
sys.path.append('%s/lib' % (os.path.abspath('..')))
from SyntheticLCGenerator import synthetic_light_curve_generator
# Let Keras know that we are using tensorflow as our backend engine
os.environ["KERAS_BACKEND"] = "tensorflow"
# Main Path
main_path = os.path.abspath('..')
# To make sure that we can reproduce the experiment and get the same results
np.random.seed(10)
def load_synthetic_time_series(data_path=None, n_samples=14000, seq_length=50,
time_span=4, n_bands=1, n_signals=1, SNR_min=5,
f0_interval='narrow',
use_time=True, use_err=True):
if f0_interval == 'narrow':
f0_inter = [1/10., 1/1.]
elif f0_interval == 'wide':
f0_inter = [1/100., 1/0.01]
else:
print('Plese define frequency interval...')
return
if os.path.exists(data_path):
print('Loading from: ', data_path)
aux = np.load(data_path).item()
samples = aux['samples']
labels = np.array(aux['labels'])[:, None]
periods = aux['periods']
if n_bands == 1:
samples = samples.reshape(samples.shape[0], samples.shape[2],
samples.shape[3])
del aux
if use_time and not use_err:
samples = samples[:, :, 0:2]
if not use_time and not use_err:
samples = samples[:, :, 1:2]
return samples, labels, periods
def load_real_time_series(data_path=None, survey='EROS2', n_bands=2,
use_time=True, use_err=True):
if os.path.exists(data_path):
print('Loading from: ', data_path)
aux = joblib.load(data_path)
lcs = aux['lcs']
meta = aux['meta']
del aux
lcs = np.stack([x.values for x in lcs])
print(lcs.shape)
if n_bands == 1:
lcs = lcs[:, :, 0:3]
if use_time and not use_err:
lcs = lcs[:, :, 0:2]
if not use_time and not use_err:
lcs = lcs[:, :, 1:2]
return lcs, meta
# You will use the Adam optimizer
def get_optimizer(learning_rate):
return Adam(lr=learning_rate, beta_1=0.5)
def get_generator(optimizer, G_hidden_units, latent_dim,
out_lc_len, n_feat, dropout=0.1):
generator = Sequential()
# LSRM ouputs last state
# generator.add(LSTM(G_hidden_units, input_shape=(out_lc_len, latent_dim),
# return_sequences=False))
# generator.add(Dense(out_lc_len*n_feat, activation='tanh'))
# generator.add(Reshape((out_lc_len, n_feat)))
# using all LSTM outputs (sequence)
generator.add(LSTM(G_hidden_units, input_shape=(out_lc_len, latent_dim),
return_sequences=True))
generator.add(Dropout(dropout))
# generator.add(LSTM(G_hidden_units,
# return_sequences=True))
# generator.add(Dropout(dropout))
generator.add(TimeDistributed(Dense(n_feat, activation='tanh')))
# fully connected layers
# generatortor.add(Dense())
generator.compile(loss='mean_squared_error', optimizer=optimizer)
return generator
def get_discriminator(optimizer, D_hidden_units, lc_len,
n_feat, dropout=0.1, D_output=1):
discriminator = Sequential()
# LSTM output last state
# discriminator.add(LSTM(D_hidden_units, input_shape=(lc_len, n_feat),
# return_sequences=False,
# kernel_initializer=initializers.RandomNormal(stddev=0.02)))
# discriminator.add(Dense(5, activation='tanh'))
# discriminator.add(Dropout(dropout))
# discriminator.add(Dense(D_output, activation='sigmoid'))
# using all LSTM states, full sequence
# discriminator.add(BatchNormalization(axis=-1, input_shape=(lc_len, n_feat)))
discriminator.add(LSTM(D_hidden_units, input_shape=(lc_len, n_feat),
return_sequences=True))
discriminator.add(Dropout(dropout))
# discriminator.add(LSTM(D_hidden_units,
# return_sequences=True,
# kernel_initializer=initializers.RandomNormal(stddev=0.02)))
# discriminator.add(Dropout(dropout))
discriminator.add(TimeDistributed(Dense(D_output, activation='softmax')))
discriminator.add(AveragePooling1D(pool_size=lc_len, data_format='channels_last'))
discriminator.add(Flatten())
discriminator.compile(loss='binary_crossentropy',
optimizer=optimizer, metrics=['acc'])
return discriminator
def get_gan_network(discriminator, latent_dim, out_lc_len, generator, optimizer):
# We initially set trainable to False since we only want
# to train either the generator or discriminator at a time
discriminator.trainable = False
# gan input (noise) will be 100-dimensional vectors
gan_input = Input(shape=(out_lc_len, latent_dim))
# the output of the generator (an image)
x = generator(gan_input)
# get the output of the discriminator
# (probability if the image is real or not)
gan_output = discriminator(x)
gan = Model(inputs=gan_input, outputs=gan_output)
gan.compile(loss='binary_crossentropy', optimizer=optimizer)
return gan
# Create a wall of generated time series
def plot_generated_time_series(epoch, generated_lc, test_lc=None, examples=8,
dim=(2, 4), figsize=(16, 4)):
fig, ax = plt.subplots(nrows=dim[0], ncols=dim[1], figsize=figsize)
for i in range(dim[0]):
for j in range(dim[1]):
if use_time and use_err:
if j == 0 and test_lc is not None:
ax[i,j].errorbar(test_lc[j+i*i, :, 0], test_lc[j+i*i, :, 1],
yerr=test_lc[j+i*i, :, 2], fmt='k.')
else:
ax[i,j].errorbar(generated_lc[(i-1)+i*j, :, 0], generated_lc[(i-1)+i*j, :, 1],
yerr=generated_lc[(i-1)+i*j, :, 2], fmt='b.')
elif use_time and not use_err:
if j == 0 and test_lc is not None:
ax[i,j].plot(test_lc[j+i*i, :, 0], test_lc[j+i*i, :, 1], 'k.')
else:
ax[i,j].plot(generated_lc[(i-1)+i*j, :, 0], generated_lc[(i-1)+i*j, :, 1], 'b.')
elif not use_time and not use_err:
if j == 0 and test_lc is not None:
ax[i,j].plot(test_lc[j+i*i, :], 'k.')
else:
ax[i,j].plot(generated_lc[(i-1)+i*j, :], 'b.')
plt.tight_layout()
# plt.savefig('gan_generated_image_epoch_%d.png' % epoch)
buf = io.BytesIO()
plt.savefig(buf, format='png')
buf.seek(0)
plt.show()
return buf
def write_log_scalar(callback, names, logs, step):
for name, value in zip(names, logs):
summary = tf.Summary()
summary_value = summary.value.add()
summary_value.simple_value = value
summary_value.tag = name
callback.writer.add_summary(summary, step)
callback.writer.flush()
def write_log_plot(callback, buf, step):
image = tf.image.decode_png(buf.getvalue(), channels=4)
image = tf.expand_dims(image, 0)
summary = tf.summary.image("Generated_Image", image,
max_outputs=1)
callback.writer.add_summary(tf.keras.backend.eval(summary), step)
callback.writer.flush()
def normalize(data, norm_time=False, scale_to=[0, 1], n_feat=2):
normed = np.zeros_like(data)
for i, lc in enumerate(data):
normed[i, :, n_feat-1] = (lc[:, n_feat-1] - np.min(lc[:, n_feat-1])) / \
(np.max(lc[:, n_feat-1]) - np.min(lc[:, n_feat-1]))
if scale_to != [0, 1]:
normed[i, :, n_feat-1] = (normed[i, :, n_feat-1] * (scale_to[1] - scale_to[0])) + scale_to[0]
if norm_time:
normed[i, :, n_feat-2] = (lc[:, n_feat-2] - np.min(lc[:, n_feat-2])) / \
(np.max(lc[:, n_feat-2]) - np.min(lc[:, n_feat-2]))
if scale_to != [0, 1]:
normed[i, :, n_feat-2] = (normed[i, :, n_feat-2] * (scale_to[1] - scale_to[0])) + scale_to[0]
else:
normed[i, :, n_feat-2] = lc[:, n_feat-2]
return normed
def standarize(data, stand_time=False):
standar = np.zeros_like(data)
for i, lc in enumerate(data):
standar[i, :, 1] = (lc[:, 1] - np.mean(lc[:, 1])) / np.std(lc[:, 1])
if stand_time:
standar[i, :, 0] = (lc[:, 0] - np.mean(lc[:, 0])) / np.std(lc[:, 0])
else:
standar[i, :, 0] = lc[:, 0]
return standar
def get_noise(n_samples, n_timesteps=50, latent_dim=5, use_time=True):
latent = np.random.normal(size=[n_samples, n_timesteps, latent_dim])
if use_time:
latent[:, :, 0] = sample_time(n=n_timesteps)
return latent
def sample_time(n=50, t_range=[0, 4], irregular=True):
time = np.linspace(t_range[0], t_range[1], num=n*10)
time = np.random.choice(time, size=n, replace=False)
return np.sort(time)
# data
n_samples = 28000
n_obs = 50
n_bands = 1
use_time = True
use_err = False
n_feat = 3
if (use_time and not use_err) or (not use_time and use_err):
n_feat = 2
elif not use_time and not use_err:
n_feat = 1
data_name = 'SynSine_time%s_err%s' % (str(use_time)[0], str(use_err)[0])
# data_name = 'EROS2_trim215_augmented'
# GAN architecture
model_name = 'LSTM_GAN'
learning_rate = 0.5
latent_dim = 5
D_hidden_units = 4
G_hidden_units = 4
D_output = 1
G_dropout = 0.2
D_dropout = 0.1
batch_size = 28
n_epochs = 200
N_gen_feat = n_feat
save_interval = 5
viz_interval = 10
batch_count = round(7000*.6 / batch_size)
n_examples = 8
gen_lc_len = n_obs
data_path = ('%s/data/synthetic/sine_nsamples%i_seqlength%i_nbands%i_nsig%i_timespan%i_SNR%i_f0%s.npy'
% (main_path, n_samples, n_obs, n_bands, 1, 4, 40, 'narrow'))
samples, labels, periods = load_synthetic_time_series(data_path, use_time=use_time, use_err=use_err)
samples = normalize(samples[:7000], norm_time=False, scale_to=[-1, 1], n_feat=n_feat)
labels = labels[:7000]
periods = periods[:7000]
print('Samples shape: ', samples.shape)
[x_train, x_test,
y_train, y_test] = model_selection.train_test_split(samples, labels,
train_size=0.6)
Loading from: /Users/jorgetil/Astro/TL-GANs/data/synthetic/sine_nsamples28000_seqlength50_nbands1_nsig1_timespan4_SNR40_f0narrow.npy Samples shape: (7000, 50, 2)
for n_units in [2,4,8,16,32,64]:
# Build our GAN netowrk
print('########## N units %i ##########' % (n_units))
adam = get_optimizer(learning_rate)
generator = get_generator(adam, n_units, latent_dim,
n_obs, n_feat, dropout=G_dropout)
discriminator = get_discriminator(adam, n_units, n_obs,
n_feat, dropout=D_dropout,
D_output=D_output)
print('generator')
print(generator.summary())
print('discriminator')
print(discriminator.summary())
gan = get_gan_network(discriminator, latent_dim, gen_lc_len, generator, adam)
print('GAN')
print(gan.summary())
test_noise = get_noise(n_examples, latent_dim=latent_dim)
# logger = TensorBoard(log_dir='%s/logs/%s_%s/run_%s/' %
# (main_path, model_name, data_name,
# datetime.datetime.now().strftime("%y%m%d_%I%M")),
# histogram_freq=0, write_graph=False, write_images=True)
# logger.set_model(gan)
loss_G, loss_D = [], []
for e in range(1, n_epochs+1):
print('-'*15, 'Epoch %d' % e, '-'*15)
for n_batch in tnrange(batch_count, desc='# batch'):
# Get a random set of input noise and real LC's
real_lc = x_train[n_batch*batch_size: (n_batch+1)*batch_size]
real_lc_y = np.random.uniform(.8, 1., size=batch_size)
# real_lc_y = np.ones(batch_size)
# Generate fake LC's
noise = get_noise(batch_size, latent_dim=latent_dim)
gen_lc = generator.predict(noise)
gen_lc_y = np.random.uniform(0., .2, size=batch_size)
# gen_lc_y = np.zeros(batch_size)
# Train discriminator on real
discriminator.trainable = True
d_loss_real, d_acc_real = discriminator.train_on_batch(real_lc, real_lc_y)
# Train discriminator on generated
discriminator.trainable = True
d_loss_gen, d_acc_gen = discriminator.train_on_batch(gen_lc, gen_lc_y)
d_loss = d_loss_real + d_loss_gen
d_acc = (d_acc_real + d_acc_gen)/2
# Train generator
noise = get_noise(batch_size, latent_dim=latent_dim)
y_gen = np.random.uniform(0.8, 1., size=batch_size)
# y_gen = np.ones(batch_size)
discriminator.trainable = False
g_loss = gan.train_on_batch(noise, y_gen)
loss_G.append([(e-1) * batch_count + n_batch ,g_loss])
loss_D.append([(e-1) * batch_count + n_batch ,d_loss])
# if n_batch % 10 == 0:
# write_log_scalar(logger, ['G_loss', 'D_loss', 'D_acc'],
# [g_loss, d_loss, d_acc],
# (e-1) * batch_count + n_batch)
print("%d [D loss: %f, acc: %.0f%%] [G loss: %f]" %
(e, d_loss, d_acc*100, g_loss))
if d_loss == 0:
print('Failiure mode...')
break
if e == 1 or e % viz_interval == 0:
lc_test = generator.predict(get_noise(n_examples, latent_dim=latent_dim))
img_buf = plot_generated_time_series(e, lc_test,
test_lc=x_test[np.random.randint(0,len(x_test),8)])
# generator.save('%s/experiments/params/%s_%s_G_%i.hdf5' %
# (main_path, model_name, data_name, e))
# discriminator.save('%s/experiments/params/%s_%s_D_%i.hdf5' %
# (main_path, model_name, data_name, e))
# write_log_plot(logger, img_buf, (e-1) * batch_count + n_batch)
loss_G = np.array(loss_G)
loss_D = np.array(loss_D)
plt.plot(loss_G[:,0], loss_G[:,1], '.-b', label='G')
plt.plot(loss_D[:,0], loss_D[:,1], '.-r', label='D')
plt.xlabel('batch iter')
plt.ylabel('Loss')
plt.legend(loc='best')
plt.show()
########## N units 2 ########## generator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_56 (LSTM) (None, 50, 2) 64 _________________________________________________________________ dropout_53 (Dropout) (None, 50, 2) 0 _________________________________________________________________ time_distributed_30 (TimeDis (None, 50, 2) 6 ================================================================= Total params: 70 Trainable params: 70 Non-trainable params: 0 _________________________________________________________________ None discriminator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_57 (LSTM) (None, 50, 2) 40 _________________________________________________________________ dropout_54 (Dropout) (None, 50, 2) 0 _________________________________________________________________ time_distributed_31 (TimeDis (None, 50, 1) 3 _________________________________________________________________ average_pooling1d_17 (Averag (None, 1, 1) 0 _________________________________________________________________ flatten_17 (Flatten) (None, 1) 0 ================================================================= Total params: 43 Trainable params: 43 Non-trainable params: 0 _________________________________________________________________ None GAN _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_17 (InputLayer) (None, 50, 5) 0 _________________________________________________________________ sequential_33 (Sequential) (None, 50, 2) 70 _________________________________________________________________ sequential_34 (Sequential) (None, 1) 43 ================================================================= Total params: 113 Trainable params: 70 Non-trainable params: 43 _________________________________________________________________ None --------------- Epoch 1 ---------------
1 [D loss: 16.090469, acc: 0%] [G loss: 1.334681]
--------------- Epoch 2 ---------------
2 [D loss: 16.322367, acc: 0%] [G loss: 1.515718] --------------- Epoch 3 ---------------
3 [D loss: 16.110876, acc: 0%] [G loss: 1.959358] --------------- Epoch 4 ---------------
4 [D loss: 16.153021, acc: 0%] [G loss: 1.600304] --------------- Epoch 5 ---------------
5 [D loss: 15.888271, acc: 0%] [G loss: 1.261447] --------------- Epoch 6 ---------------
6 [D loss: 16.140659, acc: 0%] [G loss: 1.879982] --------------- Epoch 7 ---------------
7 [D loss: 15.997652, acc: 0%] [G loss: 1.715241] --------------- Epoch 8 ---------------
8 [D loss: 16.051643, acc: 0%] [G loss: 1.372260] --------------- Epoch 9 ---------------
9 [D loss: 16.311188, acc: 0%] [G loss: 1.644311] --------------- Epoch 10 ---------------
10 [D loss: 15.878527, acc: 0%] [G loss: 1.535769]
--------------- Epoch 11 ---------------
11 [D loss: 15.893427, acc: 0%] [G loss: 1.549921] --------------- Epoch 12 ---------------
12 [D loss: 15.816778, acc: 0%] [G loss: 1.628249] --------------- Epoch 13 ---------------
13 [D loss: 16.080563, acc: 0%] [G loss: 1.845839] --------------- Epoch 14 ---------------
14 [D loss: 16.572254, acc: 0%] [G loss: 1.609182] --------------- Epoch 15 ---------------
15 [D loss: 16.180027, acc: 0%] [G loss: 1.717197] --------------- Epoch 16 ---------------
16 [D loss: 15.742356, acc: 0%] [G loss: 1.734036] --------------- Epoch 17 ---------------
17 [D loss: 16.362185, acc: 0%] [G loss: 1.248849] --------------- Epoch 18 ---------------
18 [D loss: 16.154510, acc: 0%] [G loss: 1.449968] --------------- Epoch 19 ---------------
19 [D loss: 15.794659, acc: 0%] [G loss: 1.375706] --------------- Epoch 20 ---------------
20 [D loss: 15.847167, acc: 0%] [G loss: 1.971324]
--------------- Epoch 21 ---------------
21 [D loss: 15.831545, acc: 0%] [G loss: 1.964868] --------------- Epoch 22 ---------------
22 [D loss: 16.031120, acc: 0%] [G loss: 1.480292] --------------- Epoch 23 ---------------
23 [D loss: 15.980981, acc: 0%] [G loss: 1.632683] --------------- Epoch 24 ---------------
24 [D loss: 15.874225, acc: 0%] [G loss: 1.711079] --------------- Epoch 25 ---------------
25 [D loss: 16.077185, acc: 0%] [G loss: 1.962956] --------------- Epoch 26 ---------------
26 [D loss: 15.987985, acc: 0%] [G loss: 1.299706] --------------- Epoch 27 ---------------
27 [D loss: 15.410089, acc: 0%] [G loss: 1.813402] --------------- Epoch 28 ---------------
28 [D loss: 15.869802, acc: 0%] [G loss: 1.736107] --------------- Epoch 29 ---------------
29 [D loss: 15.924341, acc: 0%] [G loss: 1.684877] --------------- Epoch 30 ---------------
30 [D loss: 15.875277, acc: 0%] [G loss: 1.409630]
--------------- Epoch 31 ---------------
31 [D loss: 15.626996, acc: 0%] [G loss: 1.715541] --------------- Epoch 32 ---------------
32 [D loss: 16.268150, acc: 0%] [G loss: 1.814315] --------------- Epoch 33 ---------------
33 [D loss: 15.539872, acc: 0%] [G loss: 1.739169] --------------- Epoch 34 ---------------
34 [D loss: 16.009247, acc: 0%] [G loss: 1.563704] --------------- Epoch 35 ---------------
35 [D loss: 15.657756, acc: 0%] [G loss: 1.322414] --------------- Epoch 36 ---------------
36 [D loss: 15.993721, acc: 0%] [G loss: 1.464018] --------------- Epoch 37 ---------------
37 [D loss: 16.344233, acc: 0%] [G loss: 1.632681] --------------- Epoch 38 ---------------
38 [D loss: 16.165003, acc: 0%] [G loss: 1.487320] --------------- Epoch 39 ---------------
39 [D loss: 15.865001, acc: 0%] [G loss: 1.680658] --------------- Epoch 40 ---------------
40 [D loss: 15.881458, acc: 0%] [G loss: 1.535838]
--------------- Epoch 41 ---------------
41 [D loss: 16.194637, acc: 0%] [G loss: 1.733013] --------------- Epoch 42 ---------------
42 [D loss: 16.128191, acc: 0%] [G loss: 1.235572] --------------- Epoch 43 ---------------
43 [D loss: 16.323584, acc: 0%] [G loss: 1.429929] --------------- Epoch 44 ---------------
44 [D loss: 15.821351, acc: 0%] [G loss: 1.720514] --------------- Epoch 45 ---------------
45 [D loss: 16.005831, acc: 0%] [G loss: 1.739212] --------------- Epoch 46 ---------------
46 [D loss: 15.613419, acc: 0%] [G loss: 1.719136] --------------- Epoch 47 ---------------
47 [D loss: 15.970171, acc: 0%] [G loss: 1.531049] --------------- Epoch 48 ---------------
48 [D loss: 15.800820, acc: 0%] [G loss: 1.444967] --------------- Epoch 49 ---------------
49 [D loss: 15.711746, acc: 0%] [G loss: 1.859882] --------------- Epoch 50 ---------------
50 [D loss: 15.967937, acc: 0%] [G loss: 1.726363]
--------------- Epoch 51 ---------------
51 [D loss: 16.053509, acc: 0%] [G loss: 1.197875] --------------- Epoch 52 ---------------
52 [D loss: 15.995323, acc: 0%] [G loss: 1.549875] --------------- Epoch 53 ---------------
53 [D loss: 15.585988, acc: 0%] [G loss: 1.708431] --------------- Epoch 54 ---------------
54 [D loss: 15.784609, acc: 0%] [G loss: 1.511411] --------------- Epoch 55 ---------------
55 [D loss: 15.692596, acc: 0%] [G loss: 1.521782] --------------- Epoch 56 ---------------
56 [D loss: 16.008160, acc: 0%] [G loss: 1.577313] --------------- Epoch 57 ---------------
57 [D loss: 15.680762, acc: 0%] [G loss: 1.497625] --------------- Epoch 58 ---------------
58 [D loss: 16.228004, acc: 0%] [G loss: 1.511232] --------------- Epoch 59 ---------------
59 [D loss: 16.134501, acc: 0%] [G loss: 1.438702] --------------- Epoch 60 ---------------
60 [D loss: 16.042364, acc: 0%] [G loss: 1.857622]
--------------- Epoch 61 ---------------
61 [D loss: 15.973356, acc: 0%] [G loss: 1.550626] --------------- Epoch 62 ---------------
62 [D loss: 15.911154, acc: 0%] [G loss: 1.430784] --------------- Epoch 63 ---------------
63 [D loss: 15.844288, acc: 0%] [G loss: 1.445024] --------------- Epoch 64 ---------------
64 [D loss: 16.071001, acc: 0%] [G loss: 1.531125] --------------- Epoch 65 ---------------
65 [D loss: 16.005135, acc: 0%] [G loss: 1.477401] --------------- Epoch 66 ---------------
66 [D loss: 16.040169, acc: 0%] [G loss: 1.314774] --------------- Epoch 67 ---------------
67 [D loss: 15.760334, acc: 0%] [G loss: 1.731992] --------------- Epoch 68 ---------------
68 [D loss: 15.852043, acc: 0%] [G loss: 1.689998] --------------- Epoch 69 ---------------
69 [D loss: 15.827004, acc: 0%] [G loss: 1.395313] --------------- Epoch 70 ---------------
70 [D loss: 15.761239, acc: 0%] [G loss: 1.744371]
--------------- Epoch 71 ---------------
71 [D loss: 15.522649, acc: 0%] [G loss: 1.720522] --------------- Epoch 72 ---------------
72 [D loss: 15.844193, acc: 0%] [G loss: 1.909280] --------------- Epoch 73 ---------------
73 [D loss: 15.807892, acc: 0%] [G loss: 1.760467] --------------- Epoch 74 ---------------
74 [D loss: 16.074190, acc: 0%] [G loss: 1.854620] --------------- Epoch 75 ---------------
75 [D loss: 16.130793, acc: 0%] [G loss: 1.933882] --------------- Epoch 76 ---------------
76 [D loss: 16.012655, acc: 0%] [G loss: 1.699295] --------------- Epoch 77 ---------------
77 [D loss: 15.736042, acc: 0%] [G loss: 1.641678] --------------- Epoch 78 ---------------
78 [D loss: 16.207117, acc: 0%] [G loss: 1.455015] --------------- Epoch 79 ---------------
79 [D loss: 15.477221, acc: 0%] [G loss: 1.288132] --------------- Epoch 80 ---------------
80 [D loss: 15.974344, acc: 0%] [G loss: 1.791574]
--------------- Epoch 81 ---------------
81 [D loss: 15.628366, acc: 0%] [G loss: 1.928919] --------------- Epoch 82 ---------------
82 [D loss: 15.823129, acc: 0%] [G loss: 1.841071] --------------- Epoch 83 ---------------
83 [D loss: 15.933781, acc: 0%] [G loss: 1.739003] --------------- Epoch 84 ---------------
84 [D loss: 16.164131, acc: 0%] [G loss: 1.437387] --------------- Epoch 85 ---------------
85 [D loss: 16.240690, acc: 0%] [G loss: 1.671986] --------------- Epoch 86 ---------------
86 [D loss: 15.756493, acc: 0%] [G loss: 1.174878] --------------- Epoch 87 ---------------
87 [D loss: 15.888556, acc: 0%] [G loss: 1.590592] --------------- Epoch 88 ---------------
88 [D loss: 15.701475, acc: 0%] [G loss: 1.678882] --------------- Epoch 89 ---------------
89 [D loss: 16.004004, acc: 0%] [G loss: 1.436685] --------------- Epoch 90 ---------------
90 [D loss: 16.026707, acc: 0%] [G loss: 1.799755]
--------------- Epoch 91 ---------------
91 [D loss: 16.304672, acc: 0%] [G loss: 1.477628] --------------- Epoch 92 ---------------
92 [D loss: 15.948680, acc: 0%] [G loss: 1.798449] --------------- Epoch 93 ---------------
93 [D loss: 16.225899, acc: 0%] [G loss: 1.793364] --------------- Epoch 94 ---------------
94 [D loss: 15.973787, acc: 0%] [G loss: 1.543505] --------------- Epoch 95 ---------------
95 [D loss: 15.740634, acc: 0%] [G loss: 1.455097] --------------- Epoch 96 ---------------
96 [D loss: 16.001369, acc: 0%] [G loss: 1.220690] --------------- Epoch 97 ---------------
97 [D loss: 16.322483, acc: 0%] [G loss: 1.719164] --------------- Epoch 98 ---------------
98 [D loss: 16.042782, acc: 0%] [G loss: 1.917426] --------------- Epoch 99 ---------------
99 [D loss: 15.860650, acc: 0%] [G loss: 1.592637] --------------- Epoch 100 ---------------
100 [D loss: 15.998013, acc: 0%] [G loss: 1.638976]
--------------- Epoch 101 ---------------
101 [D loss: 16.118111, acc: 0%] [G loss: 1.654528] --------------- Epoch 102 ---------------
102 [D loss: 15.805776, acc: 0%] [G loss: 1.291530] --------------- Epoch 103 ---------------
103 [D loss: 15.734573, acc: 0%] [G loss: 1.737813] --------------- Epoch 104 ---------------
104 [D loss: 15.846859, acc: 0%] [G loss: 1.563967] --------------- Epoch 105 ---------------
105 [D loss: 16.038132, acc: 0%] [G loss: 1.445092] --------------- Epoch 106 ---------------
106 [D loss: 16.359180, acc: 0%] [G loss: 1.761111] --------------- Epoch 107 ---------------
107 [D loss: 15.847732, acc: 0%] [G loss: 1.774363] --------------- Epoch 108 ---------------
108 [D loss: 16.295961, acc: 0%] [G loss: 1.531832] --------------- Epoch 109 ---------------
109 [D loss: 15.988876, acc: 0%] [G loss: 1.422396] --------------- Epoch 110 ---------------
110 [D loss: 15.733454, acc: 0%] [G loss: 1.446804]
--------------- Epoch 111 ---------------
111 [D loss: 16.135559, acc: 0%] [G loss: 1.509294] --------------- Epoch 112 ---------------
112 [D loss: 16.215752, acc: 0%] [G loss: 1.383567] --------------- Epoch 113 ---------------
113 [D loss: 15.756694, acc: 0%] [G loss: 1.477310] --------------- Epoch 114 ---------------
114 [D loss: 16.546799, acc: 0%] [G loss: 1.503590] --------------- Epoch 115 ---------------
115 [D loss: 16.234333, acc: 0%] [G loss: 1.834148] --------------- Epoch 116 ---------------
116 [D loss: 15.942552, acc: 0%] [G loss: 1.466355] --------------- Epoch 117 ---------------
117 [D loss: 15.756870, acc: 0%] [G loss: 1.835293] --------------- Epoch 118 ---------------
118 [D loss: 15.933353, acc: 0%] [G loss: 1.611349] --------------- Epoch 119 ---------------
119 [D loss: 16.183468, acc: 0%] [G loss: 1.897902] --------------- Epoch 120 ---------------
120 [D loss: 16.299046, acc: 0%] [G loss: 1.344442]
--------------- Epoch 121 ---------------
121 [D loss: 15.555529, acc: 0%] [G loss: 1.348526] --------------- Epoch 122 ---------------
122 [D loss: 15.480910, acc: 0%] [G loss: 1.505197] --------------- Epoch 123 ---------------
123 [D loss: 15.869847, acc: 0%] [G loss: 1.544816] --------------- Epoch 124 ---------------
124 [D loss: 15.967034, acc: 0%] [G loss: 1.439583] --------------- Epoch 125 ---------------
125 [D loss: 16.000292, acc: 0%] [G loss: 1.607303] --------------- Epoch 126 ---------------
126 [D loss: 15.700588, acc: 0%] [G loss: 1.609682] --------------- Epoch 127 ---------------
127 [D loss: 16.073584, acc: 0%] [G loss: 1.424999] --------------- Epoch 128 ---------------
128 [D loss: 16.125965, acc: 0%] [G loss: 1.642853] --------------- Epoch 129 ---------------
129 [D loss: 15.787867, acc: 0%] [G loss: 1.626886] --------------- Epoch 130 ---------------
130 [D loss: 15.846158, acc: 0%] [G loss: 1.771078]
--------------- Epoch 131 ---------------
131 [D loss: 15.847765, acc: 0%] [G loss: 1.419220] --------------- Epoch 132 ---------------
132 [D loss: 15.920157, acc: 0%] [G loss: 1.648502] --------------- Epoch 133 ---------------
133 [D loss: 15.754363, acc: 0%] [G loss: 1.551232] --------------- Epoch 134 ---------------
134 [D loss: 16.479700, acc: 0%] [G loss: 1.521842] --------------- Epoch 135 ---------------
135 [D loss: 15.869585, acc: 0%] [G loss: 1.698590] --------------- Epoch 136 ---------------
136 [D loss: 15.979133, acc: 0%] [G loss: 1.644996] --------------- Epoch 137 ---------------
137 [D loss: 16.159163, acc: 0%] [G loss: 1.719817] --------------- Epoch 138 ---------------
138 [D loss: 15.634013, acc: 0%] [G loss: 1.603046] --------------- Epoch 139 ---------------
139 [D loss: 15.891032, acc: 0%] [G loss: 1.371556] --------------- Epoch 140 ---------------
140 [D loss: 16.023933, acc: 0%] [G loss: 1.480251]
--------------- Epoch 141 ---------------
141 [D loss: 15.945363, acc: 0%] [G loss: 1.666912] --------------- Epoch 142 ---------------
142 [D loss: 16.239893, acc: 0%] [G loss: 1.706493] --------------- Epoch 143 ---------------
143 [D loss: 16.389677, acc: 0%] [G loss: 1.460232] --------------- Epoch 144 ---------------
144 [D loss: 15.115733, acc: 0%] [G loss: 1.672036] --------------- Epoch 145 ---------------
145 [D loss: 15.687506, acc: 0%] [G loss: 1.724014] --------------- Epoch 146 ---------------
146 [D loss: 16.462563, acc: 0%] [G loss: 1.689087] --------------- Epoch 147 ---------------
147 [D loss: 16.218042, acc: 0%] [G loss: 1.348304] --------------- Epoch 148 ---------------
148 [D loss: 16.054974, acc: 0%] [G loss: 1.384198] --------------- Epoch 149 ---------------
149 [D loss: 15.629042, acc: 0%] [G loss: 1.925551] --------------- Epoch 150 ---------------
150 [D loss: 15.828870, acc: 0%] [G loss: 1.695027]
--------------- Epoch 151 ---------------
151 [D loss: 16.148933, acc: 0%] [G loss: 1.570188] --------------- Epoch 152 ---------------
152 [D loss: 15.510374, acc: 0%] [G loss: 1.486983] --------------- Epoch 153 ---------------
153 [D loss: 16.057400, acc: 0%] [G loss: 1.491346] --------------- Epoch 154 ---------------
154 [D loss: 16.108675, acc: 0%] [G loss: 1.457571] --------------- Epoch 155 ---------------
155 [D loss: 15.883446, acc: 0%] [G loss: 1.922918] --------------- Epoch 156 ---------------
156 [D loss: 15.809853, acc: 0%] [G loss: 1.677683] --------------- Epoch 157 ---------------
157 [D loss: 16.056704, acc: 0%] [G loss: 1.628642] --------------- Epoch 158 ---------------
158 [D loss: 16.143688, acc: 0%] [G loss: 1.474989] --------------- Epoch 159 ---------------
159 [D loss: 15.472681, acc: 0%] [G loss: 1.752803] --------------- Epoch 160 ---------------
160 [D loss: 15.658184, acc: 0%] [G loss: 1.281774]
--------------- Epoch 161 ---------------
161 [D loss: 15.719446, acc: 0%] [G loss: 1.764688] --------------- Epoch 162 ---------------
162 [D loss: 16.268837, acc: 0%] [G loss: 1.815275] --------------- Epoch 163 ---------------
163 [D loss: 15.794940, acc: 0%] [G loss: 1.410602] --------------- Epoch 164 ---------------
164 [D loss: 15.900259, acc: 0%] [G loss: 1.577147] --------------- Epoch 165 ---------------
165 [D loss: 15.642395, acc: 0%] [G loss: 1.486016] --------------- Epoch 166 ---------------
166 [D loss: 16.127665, acc: 0%] [G loss: 1.659095] --------------- Epoch 167 ---------------
167 [D loss: 15.975731, acc: 0%] [G loss: 1.245090] --------------- Epoch 168 ---------------
168 [D loss: 15.707597, acc: 0%] [G loss: 1.597879] --------------- Epoch 169 ---------------
169 [D loss: 15.684899, acc: 0%] [G loss: 1.701990] --------------- Epoch 170 ---------------
170 [D loss: 16.115356, acc: 0%] [G loss: 1.664111]
--------------- Epoch 171 ---------------
171 [D loss: 16.118309, acc: 0%] [G loss: 1.698078] --------------- Epoch 172 ---------------
172 [D loss: 15.543123, acc: 0%] [G loss: 1.921693] --------------- Epoch 173 ---------------
173 [D loss: 15.820539, acc: 0%] [G loss: 1.692953] --------------- Epoch 174 ---------------
174 [D loss: 15.910888, acc: 0%] [G loss: 1.414989] --------------- Epoch 175 ---------------
175 [D loss: 16.406361, acc: 0%] [G loss: 1.698521] --------------- Epoch 176 ---------------
176 [D loss: 15.685575, acc: 0%] [G loss: 1.819338] --------------- Epoch 177 ---------------
177 [D loss: 16.115091, acc: 0%] [G loss: 1.798494] --------------- Epoch 178 ---------------
178 [D loss: 16.181761, acc: 0%] [G loss: 1.652159] --------------- Epoch 179 ---------------
179 [D loss: 15.942348, acc: 0%] [G loss: 1.469809] --------------- Epoch 180 ---------------
180 [D loss: 16.035866, acc: 0%] [G loss: 1.419968]
--------------- Epoch 181 ---------------
181 [D loss: 16.197481, acc: 0%] [G loss: 1.672230] --------------- Epoch 182 ---------------
182 [D loss: 16.077110, acc: 0%] [G loss: 1.950921] --------------- Epoch 183 ---------------
183 [D loss: 16.238068, acc: 0%] [G loss: 1.718088] --------------- Epoch 184 ---------------
184 [D loss: 15.506413, acc: 0%] [G loss: 1.885913] --------------- Epoch 185 ---------------
185 [D loss: 16.064470, acc: 0%] [G loss: 1.635202] --------------- Epoch 186 ---------------
186 [D loss: 16.050663, acc: 0%] [G loss: 1.560817] --------------- Epoch 187 ---------------
187 [D loss: 16.369343, acc: 0%] [G loss: 1.379884] --------------- Epoch 188 ---------------
188 [D loss: 15.402411, acc: 0%] [G loss: 1.757609] --------------- Epoch 189 ---------------
189 [D loss: 16.439453, acc: 0%] [G loss: 1.505996] --------------- Epoch 190 ---------------
190 [D loss: 15.865658, acc: 0%] [G loss: 1.767711]
--------------- Epoch 191 ---------------
191 [D loss: 16.088505, acc: 0%] [G loss: 1.798839] --------------- Epoch 192 ---------------
192 [D loss: 16.028463, acc: 0%] [G loss: 1.305292] --------------- Epoch 193 ---------------
193 [D loss: 16.121092, acc: 0%] [G loss: 1.402193] --------------- Epoch 194 ---------------
194 [D loss: 15.529953, acc: 0%] [G loss: 1.432548] --------------- Epoch 195 ---------------
195 [D loss: 16.281309, acc: 0%] [G loss: 1.527222] --------------- Epoch 196 ---------------
196 [D loss: 15.957241, acc: 0%] [G loss: 1.466670] --------------- Epoch 197 ---------------
197 [D loss: 15.861963, acc: 0%] [G loss: 1.557484] --------------- Epoch 198 ---------------
198 [D loss: 15.645219, acc: 0%] [G loss: 1.655770] --------------- Epoch 199 ---------------
199 [D loss: 16.112635, acc: 0%] [G loss: 1.672475] --------------- Epoch 200 ---------------
200 [D loss: 16.146423, acc: 0%] [G loss: 1.908828]
########## N units 4 ########## generator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_58 (LSTM) (None, 50, 4) 160 _________________________________________________________________ dropout_55 (Dropout) (None, 50, 4) 0 _________________________________________________________________ time_distributed_32 (TimeDis (None, 50, 2) 10 ================================================================= Total params: 170 Trainable params: 170 Non-trainable params: 0 _________________________________________________________________ None discriminator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_59 (LSTM) (None, 50, 4) 112 _________________________________________________________________ dropout_56 (Dropout) (None, 50, 4) 0 _________________________________________________________________ time_distributed_33 (TimeDis (None, 50, 1) 5 _________________________________________________________________ average_pooling1d_18 (Averag (None, 1, 1) 0 _________________________________________________________________ flatten_18 (Flatten) (None, 1) 0 ================================================================= Total params: 117 Trainable params: 117 Non-trainable params: 0 _________________________________________________________________ None GAN _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_18 (InputLayer) (None, 50, 5) 0 _________________________________________________________________ sequential_35 (Sequential) (None, 50, 2) 170 _________________________________________________________________ sequential_36 (Sequential) (None, 1) 117 ================================================================= Total params: 287 Trainable params: 170 Non-trainable params: 117 _________________________________________________________________ None --------------- Epoch 1 ---------------
1 [D loss: 16.355120, acc: 0%] [G loss: 1.814460]
--------------- Epoch 2 ---------------
2 [D loss: 15.885713, acc: 0%] [G loss: 1.778458] --------------- Epoch 3 ---------------
3 [D loss: 15.702700, acc: 0%] [G loss: 1.475976] --------------- Epoch 4 ---------------
4 [D loss: 15.342725, acc: 0%] [G loss: 1.678065] --------------- Epoch 5 ---------------
5 [D loss: 16.344265, acc: 0%] [G loss: 1.293755] --------------- Epoch 6 ---------------
6 [D loss: 16.356897, acc: 0%] [G loss: 1.673522] --------------- Epoch 7 ---------------
7 [D loss: 15.983028, acc: 0%] [G loss: 1.554177] --------------- Epoch 8 ---------------
8 [D loss: 15.858913, acc: 0%] [G loss: 1.643155] --------------- Epoch 9 ---------------
9 [D loss: 16.072487, acc: 0%] [G loss: 1.524605] --------------- Epoch 10 ---------------
10 [D loss: 15.809323, acc: 0%] [G loss: 1.487838]
--------------- Epoch 11 ---------------
11 [D loss: 16.080364, acc: 0%] [G loss: 1.585770] --------------- Epoch 12 ---------------
12 [D loss: 15.958570, acc: 0%] [G loss: 1.422662] --------------- Epoch 13 ---------------
13 [D loss: 15.637968, acc: 0%] [G loss: 1.762017] --------------- Epoch 14 ---------------
14 [D loss: 16.082613, acc: 0%] [G loss: 1.582315] --------------- Epoch 15 ---------------
15 [D loss: 16.069241, acc: 0%] [G loss: 1.413109] --------------- Epoch 16 ---------------
16 [D loss: 16.083841, acc: 0%] [G loss: 1.915685] --------------- Epoch 17 ---------------
17 [D loss: 16.032610, acc: 0%] [G loss: 1.681679] --------------- Epoch 18 ---------------
18 [D loss: 15.655169, acc: 0%] [G loss: 1.407526] --------------- Epoch 19 ---------------
19 [D loss: 15.726792, acc: 0%] [G loss: 1.636848] --------------- Epoch 20 ---------------
20 [D loss: 15.892385, acc: 0%] [G loss: 1.366554]
--------------- Epoch 21 ---------------
21 [D loss: 15.842997, acc: 0%] [G loss: 1.256908] --------------- Epoch 22 ---------------
22 [D loss: 15.604059, acc: 0%] [G loss: 1.392568] --------------- Epoch 23 ---------------
23 [D loss: 15.880693, acc: 0%] [G loss: 1.560992] --------------- Epoch 24 ---------------
24 [D loss: 16.082539, acc: 0%] [G loss: 1.461354] --------------- Epoch 25 ---------------
25 [D loss: 15.522431, acc: 0%] [G loss: 1.691905] --------------- Epoch 26 ---------------
26 [D loss: 15.421041, acc: 0%] [G loss: 1.437281] --------------- Epoch 27 ---------------
27 [D loss: 15.711436, acc: 0%] [G loss: 1.443788] --------------- Epoch 28 ---------------
28 [D loss: 15.931770, acc: 0%] [G loss: 1.205924] --------------- Epoch 29 ---------------
29 [D loss: 15.736502, acc: 0%] [G loss: 1.623961] --------------- Epoch 30 ---------------
30 [D loss: 15.842502, acc: 0%] [G loss: 1.643802]
--------------- Epoch 31 ---------------
31 [D loss: 16.047377, acc: 0%] [G loss: 1.600836] --------------- Epoch 32 ---------------
32 [D loss: 16.234045, acc: 0%] [G loss: 1.675754] --------------- Epoch 33 ---------------
33 [D loss: 15.820532, acc: 0%] [G loss: 1.657384] --------------- Epoch 34 ---------------
34 [D loss: 16.018116, acc: 0%] [G loss: 1.556877] --------------- Epoch 35 ---------------
35 [D loss: 15.778200, acc: 0%] [G loss: 1.512011] --------------- Epoch 36 ---------------
36 [D loss: 15.894783, acc: 0%] [G loss: 1.526312] --------------- Epoch 37 ---------------
37 [D loss: 15.896000, acc: 0%] [G loss: 1.729846] --------------- Epoch 38 ---------------
38 [D loss: 15.901708, acc: 0%] [G loss: 1.449038] --------------- Epoch 39 ---------------
39 [D loss: 15.748181, acc: 0%] [G loss: 1.791937] --------------- Epoch 40 ---------------
40 [D loss: 15.732977, acc: 0%] [G loss: 1.487627]
--------------- Epoch 41 ---------------
41 [D loss: 16.074818, acc: 0%] [G loss: 1.444350] --------------- Epoch 42 ---------------
42 [D loss: 15.992746, acc: 0%] [G loss: 1.416789] --------------- Epoch 43 ---------------
43 [D loss: 15.843462, acc: 0%] [G loss: 1.501899] --------------- Epoch 44 ---------------
44 [D loss: 15.963544, acc: 0%] [G loss: 1.703195] --------------- Epoch 45 ---------------
45 [D loss: 15.520867, acc: 0%] [G loss: 1.772685] --------------- Epoch 46 ---------------
46 [D loss: 15.521774, acc: 0%] [G loss: 1.815168] --------------- Epoch 47 ---------------
47 [D loss: 15.827453, acc: 0%] [G loss: 1.508618] --------------- Epoch 48 ---------------
48 [D loss: 15.720368, acc: 0%] [G loss: 1.631257] --------------- Epoch 49 ---------------
49 [D loss: 15.980301, acc: 0%] [G loss: 1.716111] --------------- Epoch 50 ---------------
50 [D loss: 15.985507, acc: 0%] [G loss: 1.800794]
--------------- Epoch 51 ---------------
51 [D loss: 16.107428, acc: 0%] [G loss: 1.655772] --------------- Epoch 52 ---------------
52 [D loss: 16.297289, acc: 0%] [G loss: 1.499333] --------------- Epoch 53 ---------------
53 [D loss: 16.026945, acc: 0%] [G loss: 1.241447] --------------- Epoch 54 ---------------
54 [D loss: 15.767434, acc: 0%] [G loss: 1.532032] --------------- Epoch 55 ---------------
55 [D loss: 15.828148, acc: 0%] [G loss: 1.607404] --------------- Epoch 56 ---------------
56 [D loss: 15.728347, acc: 0%] [G loss: 1.602173] --------------- Epoch 57 ---------------
57 [D loss: 15.808447, acc: 0%] [G loss: 1.736541] --------------- Epoch 58 ---------------
58 [D loss: 16.223532, acc: 0%] [G loss: 1.443335] --------------- Epoch 59 ---------------
59 [D loss: 15.875321, acc: 0%] [G loss: 1.809400] --------------- Epoch 60 ---------------
60 [D loss: 16.142029, acc: 0%] [G loss: 1.407135]
--------------- Epoch 61 ---------------
61 [D loss: 15.680516, acc: 0%] [G loss: 1.827888] --------------- Epoch 62 ---------------
62 [D loss: 16.188433, acc: 0%] [G loss: 1.405391] --------------- Epoch 63 ---------------
63 [D loss: 15.832153, acc: 0%] [G loss: 1.415140] --------------- Epoch 64 ---------------
64 [D loss: 15.564458, acc: 0%] [G loss: 1.338752] --------------- Epoch 65 ---------------
65 [D loss: 15.953715, acc: 0%] [G loss: 1.445688] --------------- Epoch 66 ---------------
66 [D loss: 15.931484, acc: 0%] [G loss: 1.575060] --------------- Epoch 67 ---------------
67 [D loss: 15.776004, acc: 0%] [G loss: 1.540231] --------------- Epoch 68 ---------------
68 [D loss: 16.443331, acc: 0%] [G loss: 1.834887] --------------- Epoch 69 ---------------
69 [D loss: 15.846472, acc: 0%] [G loss: 1.816649] --------------- Epoch 70 ---------------
70 [D loss: 16.289019, acc: 0%] [G loss: 1.630655]
--------------- Epoch 71 ---------------
71 [D loss: 16.456066, acc: 0%] [G loss: 1.488835] --------------- Epoch 72 ---------------
72 [D loss: 15.909773, acc: 0%] [G loss: 1.523792] --------------- Epoch 73 ---------------
73 [D loss: 16.317596, acc: 0%] [G loss: 1.729272] --------------- Epoch 74 ---------------
74 [D loss: 16.069672, acc: 0%] [G loss: 1.749571] --------------- Epoch 75 ---------------
75 [D loss: 16.010921, acc: 0%] [G loss: 1.669675] --------------- Epoch 76 ---------------
76 [D loss: 15.763622, acc: 0%] [G loss: 1.745655] --------------- Epoch 77 ---------------
77 [D loss: 16.657625, acc: 0%] [G loss: 1.597993] --------------- Epoch 78 ---------------
78 [D loss: 15.998830, acc: 0%] [G loss: 1.429270] --------------- Epoch 79 ---------------
79 [D loss: 15.608975, acc: 0%] [G loss: 1.521308] --------------- Epoch 80 ---------------
80 [D loss: 16.446096, acc: 0%] [G loss: 1.624209]
--------------- Epoch 81 ---------------
81 [D loss: 15.887395, acc: 0%] [G loss: 1.548560] --------------- Epoch 82 ---------------
82 [D loss: 15.694511, acc: 0%] [G loss: 1.841784] --------------- Epoch 83 ---------------
83 [D loss: 15.816544, acc: 0%] [G loss: 1.562182] --------------- Epoch 84 ---------------
84 [D loss: 16.086807, acc: 0%] [G loss: 1.691832] --------------- Epoch 85 ---------------
85 [D loss: 15.962986, acc: 0%] [G loss: 1.492356] --------------- Epoch 86 ---------------
86 [D loss: 15.927212, acc: 0%] [G loss: 1.588091] --------------- Epoch 87 ---------------
87 [D loss: 15.970743, acc: 0%] [G loss: 1.718807] --------------- Epoch 88 ---------------
88 [D loss: 16.049360, acc: 0%] [G loss: 1.486845] --------------- Epoch 89 ---------------
89 [D loss: 15.804461, acc: 0%] [G loss: 1.561460] --------------- Epoch 90 ---------------
90 [D loss: 15.966767, acc: 0%] [G loss: 1.630915]
--------------- Epoch 91 ---------------
91 [D loss: 16.214344, acc: 0%] [G loss: 1.621367] --------------- Epoch 92 ---------------
92 [D loss: 15.685247, acc: 0%] [G loss: 1.685798] --------------- Epoch 93 ---------------
93 [D loss: 15.885336, acc: 0%] [G loss: 1.726476] --------------- Epoch 94 ---------------
94 [D loss: 15.778056, acc: 0%] [G loss: 1.827002] --------------- Epoch 95 ---------------
95 [D loss: 15.680882, acc: 0%] [G loss: 1.525350] --------------- Epoch 96 ---------------
96 [D loss: 15.847626, acc: 0%] [G loss: 1.789331] --------------- Epoch 97 ---------------
97 [D loss: 15.964274, acc: 0%] [G loss: 1.564213] --------------- Epoch 98 ---------------
98 [D loss: 16.063913, acc: 0%] [G loss: 1.639329] --------------- Epoch 99 ---------------
99 [D loss: 15.937410, acc: 0%] [G loss: 1.699273] --------------- Epoch 100 ---------------
100 [D loss: 15.316786, acc: 0%] [G loss: 1.602805]
--------------- Epoch 101 ---------------
101 [D loss: 15.729321, acc: 0%] [G loss: 1.736967] --------------- Epoch 102 ---------------
102 [D loss: 15.913589, acc: 0%] [G loss: 1.362773] --------------- Epoch 103 ---------------
103 [D loss: 15.783987, acc: 0%] [G loss: 1.532944] --------------- Epoch 104 ---------------
104 [D loss: 16.549541, acc: 0%] [G loss: 1.412210] --------------- Epoch 105 ---------------
105 [D loss: 16.051456, acc: 0%] [G loss: 1.552373] --------------- Epoch 106 ---------------
106 [D loss: 15.770281, acc: 0%] [G loss: 1.581112] --------------- Epoch 107 ---------------
107 [D loss: 16.147322, acc: 0%] [G loss: 1.657568] --------------- Epoch 108 ---------------
108 [D loss: 16.214870, acc: 0%] [G loss: 1.326982] --------------- Epoch 109 ---------------
109 [D loss: 15.731587, acc: 0%] [G loss: 1.722208] --------------- Epoch 110 ---------------
110 [D loss: 16.366739, acc: 0%] [G loss: 1.782437]
--------------- Epoch 111 ---------------
111 [D loss: 15.898847, acc: 0%] [G loss: 1.688800] --------------- Epoch 112 ---------------
112 [D loss: 16.413946, acc: 0%] [G loss: 1.945495] --------------- Epoch 113 ---------------
113 [D loss: 15.794454, acc: 0%] [G loss: 1.716734] --------------- Epoch 114 ---------------
114 [D loss: 15.733102, acc: 0%] [G loss: 1.448102] --------------- Epoch 115 ---------------
115 [D loss: 16.049757, acc: 0%] [G loss: 1.605689] --------------- Epoch 116 ---------------
116 [D loss: 16.351021, acc: 0%] [G loss: 1.562716] --------------- Epoch 117 ---------------
117 [D loss: 15.447493, acc: 0%] [G loss: 1.593736] --------------- Epoch 118 ---------------
118 [D loss: 16.380306, acc: 0%] [G loss: 1.863103] --------------- Epoch 119 ---------------
119 [D loss: 15.855697, acc: 0%] [G loss: 1.440601] --------------- Epoch 120 ---------------
120 [D loss: 15.925147, acc: 0%] [G loss: 1.503540]
--------------- Epoch 121 ---------------
121 [D loss: 15.675756, acc: 0%] [G loss: 1.728369] --------------- Epoch 122 ---------------
122 [D loss: 15.972914, acc: 0%] [G loss: 1.935651] --------------- Epoch 123 ---------------
123 [D loss: 15.672054, acc: 0%] [G loss: 1.196882] --------------- Epoch 124 ---------------
124 [D loss: 15.864487, acc: 0%] [G loss: 1.726884] --------------- Epoch 125 ---------------
125 [D loss: 15.797143, acc: 0%] [G loss: 1.618165] --------------- Epoch 126 ---------------
126 [D loss: 15.972320, acc: 0%] [G loss: 1.631541] --------------- Epoch 127 ---------------
127 [D loss: 16.240685, acc: 0%] [G loss: 1.351932] --------------- Epoch 128 ---------------
128 [D loss: 16.261084, acc: 0%] [G loss: 1.543510] --------------- Epoch 129 ---------------
129 [D loss: 16.146885, acc: 0%] [G loss: 1.687831] --------------- Epoch 130 ---------------
130 [D loss: 15.799598, acc: 0%] [G loss: 1.855245]
--------------- Epoch 131 ---------------
131 [D loss: 16.257908, acc: 0%] [G loss: 1.758172] --------------- Epoch 132 ---------------
132 [D loss: 15.982866, acc: 0%] [G loss: 1.526405] --------------- Epoch 133 ---------------
133 [D loss: 15.703715, acc: 0%] [G loss: 1.668433] --------------- Epoch 134 ---------------
134 [D loss: 15.857149, acc: 0%] [G loss: 1.474374] --------------- Epoch 135 ---------------
135 [D loss: 16.385170, acc: 0%] [G loss: 1.613851] --------------- Epoch 136 ---------------
136 [D loss: 15.914593, acc: 0%] [G loss: 1.464496] --------------- Epoch 137 ---------------
137 [D loss: 16.067228, acc: 0%] [G loss: 1.530765] --------------- Epoch 138 ---------------
138 [D loss: 15.655984, acc: 0%] [G loss: 1.743528] --------------- Epoch 139 ---------------
139 [D loss: 15.813793, acc: 0%] [G loss: 1.583974] --------------- Epoch 140 ---------------
140 [D loss: 16.065954, acc: 0%] [G loss: 1.756904]
--------------- Epoch 141 ---------------
141 [D loss: 16.054783, acc: 0%] [G loss: 1.649953] --------------- Epoch 142 ---------------
142 [D loss: 16.108013, acc: 0%] [G loss: 1.572750] --------------- Epoch 143 ---------------
143 [D loss: 16.250832, acc: 0%] [G loss: 1.670592] --------------- Epoch 144 ---------------
144 [D loss: 15.549457, acc: 0%] [G loss: 1.535808] --------------- Epoch 145 ---------------
145 [D loss: 16.003542, acc: 0%] [G loss: 1.349683] --------------- Epoch 146 ---------------
146 [D loss: 15.730850, acc: 0%] [G loss: 1.731495] --------------- Epoch 147 ---------------
147 [D loss: 15.799574, acc: 0%] [G loss: 1.460245] --------------- Epoch 148 ---------------
148 [D loss: 15.976088, acc: 0%] [G loss: 1.756448] --------------- Epoch 149 ---------------
149 [D loss: 15.949119, acc: 0%] [G loss: 1.515863] --------------- Epoch 150 ---------------
150 [D loss: 15.776434, acc: 0%] [G loss: 1.752876]
--------------- Epoch 151 ---------------
151 [D loss: 16.139723, acc: 0%] [G loss: 1.363797] --------------- Epoch 152 ---------------
152 [D loss: 16.071529, acc: 0%] [G loss: 1.608806] --------------- Epoch 153 ---------------
153 [D loss: 15.903890, acc: 0%] [G loss: 1.326373] --------------- Epoch 154 ---------------
154 [D loss: 15.799172, acc: 0%] [G loss: 1.699111] --------------- Epoch 155 ---------------
155 [D loss: 15.811212, acc: 0%] [G loss: 1.652412] --------------- Epoch 156 ---------------
156 [D loss: 16.055931, acc: 0%] [G loss: 1.848974] --------------- Epoch 157 ---------------
157 [D loss: 16.341379, acc: 0%] [G loss: 1.729327] --------------- Epoch 158 ---------------
158 [D loss: 15.876120, acc: 0%] [G loss: 1.405512] --------------- Epoch 159 ---------------
159 [D loss: 16.360638, acc: 0%] [G loss: 1.530502] --------------- Epoch 160 ---------------
160 [D loss: 16.141235, acc: 0%] [G loss: 1.668757]
--------------- Epoch 161 ---------------
161 [D loss: 15.662848, acc: 0%] [G loss: 1.565931] --------------- Epoch 162 ---------------
162 [D loss: 16.153122, acc: 0%] [G loss: 1.466202] --------------- Epoch 163 ---------------
163 [D loss: 15.664349, acc: 0%] [G loss: 1.644590] --------------- Epoch 164 ---------------
164 [D loss: 16.068827, acc: 0%] [G loss: 1.274432] --------------- Epoch 165 ---------------
165 [D loss: 15.904957, acc: 0%] [G loss: 1.507339] --------------- Epoch 166 ---------------
166 [D loss: 16.237265, acc: 0%] [G loss: 1.541541] --------------- Epoch 167 ---------------
167 [D loss: 16.111155, acc: 0%] [G loss: 1.361709] --------------- Epoch 168 ---------------
168 [D loss: 15.563532, acc: 0%] [G loss: 1.482035] --------------- Epoch 169 ---------------
169 [D loss: 16.230152, acc: 0%] [G loss: 1.413161] --------------- Epoch 170 ---------------
170 [D loss: 16.467129, acc: 0%] [G loss: 1.746057]
--------------- Epoch 171 ---------------
171 [D loss: 15.788177, acc: 0%] [G loss: 1.495307] --------------- Epoch 172 ---------------
172 [D loss: 15.962108, acc: 0%] [G loss: 1.657750] --------------- Epoch 173 ---------------
173 [D loss: 15.854675, acc: 0%] [G loss: 1.516387] --------------- Epoch 174 ---------------
174 [D loss: 15.731256, acc: 0%] [G loss: 1.616036] --------------- Epoch 175 ---------------
175 [D loss: 15.903933, acc: 0%] [G loss: 1.457659] --------------- Epoch 176 ---------------
176 [D loss: 15.955573, acc: 0%] [G loss: 1.611738] --------------- Epoch 177 ---------------
177 [D loss: 16.036066, acc: 0%] [G loss: 2.039540] --------------- Epoch 178 ---------------
178 [D loss: 16.355873, acc: 0%] [G loss: 1.628508] --------------- Epoch 179 ---------------
179 [D loss: 15.867373, acc: 0%] [G loss: 1.421464] --------------- Epoch 180 ---------------
180 [D loss: 16.298250, acc: 0%] [G loss: 1.418634]
--------------- Epoch 181 ---------------
181 [D loss: 15.956868, acc: 0%] [G loss: 1.370369] --------------- Epoch 182 ---------------
182 [D loss: 16.327772, acc: 0%] [G loss: 1.643640] --------------- Epoch 183 ---------------
183 [D loss: 15.918966, acc: 0%] [G loss: 1.119774] --------------- Epoch 184 ---------------
184 [D loss: 16.081381, acc: 0%] [G loss: 1.414834] --------------- Epoch 185 ---------------
185 [D loss: 15.533664, acc: 0%] [G loss: 1.622836] --------------- Epoch 186 ---------------
186 [D loss: 16.181440, acc: 0%] [G loss: 1.487777] --------------- Epoch 187 ---------------
187 [D loss: 15.577910, acc: 0%] [G loss: 1.565601] --------------- Epoch 188 ---------------
188 [D loss: 15.972589, acc: 0%] [G loss: 1.595383] --------------- Epoch 189 ---------------
189 [D loss: 15.348717, acc: 0%] [G loss: 1.865746] --------------- Epoch 190 ---------------
190 [D loss: 15.642968, acc: 0%] [G loss: 1.861328]
--------------- Epoch 191 ---------------
191 [D loss: 16.051455, acc: 0%] [G loss: 1.669194] --------------- Epoch 192 ---------------
192 [D loss: 16.250612, acc: 0%] [G loss: 1.557063] --------------- Epoch 193 ---------------
193 [D loss: 15.975104, acc: 0%] [G loss: 1.574857] --------------- Epoch 194 ---------------
194 [D loss: 15.685685, acc: 0%] [G loss: 1.440807] --------------- Epoch 195 ---------------
195 [D loss: 16.101292, acc: 0%] [G loss: 1.889536] --------------- Epoch 196 ---------------
196 [D loss: 16.049273, acc: 0%] [G loss: 1.627507] --------------- Epoch 197 ---------------
197 [D loss: 15.890452, acc: 0%] [G loss: 1.588110] --------------- Epoch 198 ---------------
198 [D loss: 15.811005, acc: 0%] [G loss: 1.822914] --------------- Epoch 199 ---------------
199 [D loss: 16.026089, acc: 0%] [G loss: 1.644084] --------------- Epoch 200 ---------------
200 [D loss: 15.699904, acc: 0%] [G loss: 1.594372]
########## N units 8 ########## generator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_60 (LSTM) (None, 50, 8) 448 _________________________________________________________________ dropout_57 (Dropout) (None, 50, 8) 0 _________________________________________________________________ time_distributed_34 (TimeDis (None, 50, 2) 18 ================================================================= Total params: 466 Trainable params: 466 Non-trainable params: 0 _________________________________________________________________ None discriminator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_61 (LSTM) (None, 50, 8) 352 _________________________________________________________________ dropout_58 (Dropout) (None, 50, 8) 0 _________________________________________________________________ time_distributed_35 (TimeDis (None, 50, 1) 9 _________________________________________________________________ average_pooling1d_19 (Averag (None, 1, 1) 0 _________________________________________________________________ flatten_19 (Flatten) (None, 1) 0 ================================================================= Total params: 361 Trainable params: 361 Non-trainable params: 0 _________________________________________________________________ None GAN _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_19 (InputLayer) (None, 50, 5) 0 _________________________________________________________________ sequential_37 (Sequential) (None, 50, 2) 466 _________________________________________________________________ sequential_38 (Sequential) (None, 1) 361 ================================================================= Total params: 827 Trainable params: 466 Non-trainable params: 361 _________________________________________________________________ None --------------- Epoch 1 ---------------
1 [D loss: 16.068523, acc: 0%] [G loss: 1.511986]
--------------- Epoch 2 ---------------
2 [D loss: 15.875296, acc: 0%] [G loss: 1.538797] --------------- Epoch 3 ---------------
3 [D loss: 15.672616, acc: 0%] [G loss: 1.587683] --------------- Epoch 4 ---------------
4 [D loss: 16.223209, acc: 0%] [G loss: 1.562070] --------------- Epoch 5 ---------------
5 [D loss: 15.780662, acc: 0%] [G loss: 1.286369] --------------- Epoch 6 ---------------
6 [D loss: 16.120306, acc: 0%] [G loss: 1.725591] --------------- Epoch 7 ---------------
7 [D loss: 16.035919, acc: 0%] [G loss: 1.875308] --------------- Epoch 8 ---------------
8 [D loss: 15.899560, acc: 0%] [G loss: 2.031976] --------------- Epoch 9 ---------------
9 [D loss: 15.933397, acc: 0%] [G loss: 1.416320] --------------- Epoch 10 ---------------
10 [D loss: 15.834480, acc: 0%] [G loss: 1.521246]
--------------- Epoch 11 ---------------
11 [D loss: 16.025002, acc: 0%] [G loss: 1.450714] --------------- Epoch 12 ---------------
12 [D loss: 15.598192, acc: 0%] [G loss: 1.320845] --------------- Epoch 13 ---------------
13 [D loss: 15.807251, acc: 0%] [G loss: 1.818233] --------------- Epoch 14 ---------------
14 [D loss: 16.247601, acc: 0%] [G loss: 1.464720] --------------- Epoch 15 ---------------
15 [D loss: 16.407959, acc: 0%] [G loss: 1.866647] --------------- Epoch 16 ---------------
16 [D loss: 16.398468, acc: 0%] [G loss: 1.543110] --------------- Epoch 17 ---------------
17 [D loss: 16.284662, acc: 0%] [G loss: 1.663562] --------------- Epoch 18 ---------------
18 [D loss: 16.164110, acc: 0%] [G loss: 1.844124] --------------- Epoch 19 ---------------
19 [D loss: 15.647630, acc: 0%] [G loss: 1.512761] --------------- Epoch 20 ---------------
20 [D loss: 15.823670, acc: 0%] [G loss: 1.634329]
--------------- Epoch 21 ---------------
21 [D loss: 15.835176, acc: 0%] [G loss: 1.353255] --------------- Epoch 22 ---------------
22 [D loss: 16.075550, acc: 0%] [G loss: 1.847310] --------------- Epoch 23 ---------------
23 [D loss: 16.059141, acc: 0%] [G loss: 1.848006] --------------- Epoch 24 ---------------
24 [D loss: 16.169222, acc: 0%] [G loss: 1.711251] --------------- Epoch 25 ---------------
25 [D loss: 15.942238, acc: 0%] [G loss: 1.464640] --------------- Epoch 26 ---------------
26 [D loss: 16.038540, acc: 0%] [G loss: 1.450897] --------------- Epoch 27 ---------------
27 [D loss: 16.052654, acc: 0%] [G loss: 1.599646] --------------- Epoch 28 ---------------
28 [D loss: 16.115032, acc: 0%] [G loss: 1.586840] --------------- Epoch 29 ---------------
29 [D loss: 15.644703, acc: 0%] [G loss: 1.822035] --------------- Epoch 30 ---------------
30 [D loss: 15.987165, acc: 0%] [G loss: 1.666212]
--------------- Epoch 31 ---------------
31 [D loss: 15.711650, acc: 0%] [G loss: 1.557869] --------------- Epoch 32 ---------------
32 [D loss: 15.784402, acc: 0%] [G loss: 1.593457] --------------- Epoch 33 ---------------
33 [D loss: 15.769219, acc: 0%] [G loss: 1.794264] --------------- Epoch 34 ---------------
34 [D loss: 16.324675, acc: 0%] [G loss: 1.557097] --------------- Epoch 35 ---------------
35 [D loss: 15.738944, acc: 0%] [G loss: 1.561888] --------------- Epoch 36 ---------------
36 [D loss: 16.018753, acc: 0%] [G loss: 1.495960] --------------- Epoch 37 ---------------
37 [D loss: 15.825685, acc: 0%] [G loss: 1.453666] --------------- Epoch 38 ---------------
38 [D loss: 15.788954, acc: 0%] [G loss: 1.798302] --------------- Epoch 39 ---------------
39 [D loss: 16.224762, acc: 0%] [G loss: 1.315024] --------------- Epoch 40 ---------------
40 [D loss: 15.779748, acc: 0%] [G loss: 1.514781]
--------------- Epoch 41 ---------------
41 [D loss: 16.126400, acc: 0%] [G loss: 1.466103] --------------- Epoch 42 ---------------
42 [D loss: 16.188307, acc: 0%] [G loss: 1.412551] --------------- Epoch 43 ---------------
43 [D loss: 15.961331, acc: 0%] [G loss: 1.492469] --------------- Epoch 44 ---------------
44 [D loss: 15.377103, acc: 0%] [G loss: 1.534195] --------------- Epoch 45 ---------------
45 [D loss: 15.938719, acc: 0%] [G loss: 1.557578] --------------- Epoch 46 ---------------
46 [D loss: 15.849633, acc: 0%] [G loss: 1.630280] --------------- Epoch 47 ---------------
47 [D loss: 15.717019, acc: 0%] [G loss: 1.602840] --------------- Epoch 48 ---------------
48 [D loss: 16.152714, acc: 0%] [G loss: 1.695898] --------------- Epoch 49 ---------------
49 [D loss: 15.944968, acc: 0%] [G loss: 1.277634] --------------- Epoch 50 ---------------
50 [D loss: 15.825646, acc: 0%] [G loss: 1.676467]
--------------- Epoch 51 ---------------
51 [D loss: 15.654469, acc: 0%] [G loss: 1.640069] --------------- Epoch 52 ---------------
52 [D loss: 15.694880, acc: 0%] [G loss: 1.704369] --------------- Epoch 53 ---------------
53 [D loss: 15.870326, acc: 0%] [G loss: 1.562527] --------------- Epoch 54 ---------------
54 [D loss: 16.294598, acc: 0%] [G loss: 1.612864] --------------- Epoch 55 ---------------
55 [D loss: 15.823370, acc: 0%] [G loss: 1.616567] --------------- Epoch 56 ---------------
56 [D loss: 15.891415, acc: 0%] [G loss: 1.519933] --------------- Epoch 57 ---------------
57 [D loss: 16.064240, acc: 0%] [G loss: 1.848280] --------------- Epoch 58 ---------------
58 [D loss: 15.943722, acc: 0%] [G loss: 1.178184] --------------- Epoch 59 ---------------
59 [D loss: 16.298328, acc: 0%] [G loss: 1.501541] --------------- Epoch 60 ---------------
60 [D loss: 16.118023, acc: 0%] [G loss: 1.408483]
--------------- Epoch 61 ---------------
61 [D loss: 16.094109, acc: 0%] [G loss: 1.644603] --------------- Epoch 62 ---------------
62 [D loss: 16.245459, acc: 0%] [G loss: 1.641929] --------------- Epoch 63 ---------------
63 [D loss: 15.771560, acc: 0%] [G loss: 1.415523] --------------- Epoch 64 ---------------
64 [D loss: 16.072824, acc: 0%] [G loss: 1.762271] --------------- Epoch 65 ---------------
65 [D loss: 15.626390, acc: 0%] [G loss: 1.350595] --------------- Epoch 66 ---------------
66 [D loss: 16.135691, acc: 0%] [G loss: 1.641337] --------------- Epoch 67 ---------------
67 [D loss: 15.932797, acc: 0%] [G loss: 1.803150] --------------- Epoch 68 ---------------
68 [D loss: 16.660748, acc: 0%] [G loss: 1.745241] --------------- Epoch 69 ---------------
69 [D loss: 16.429029, acc: 0%] [G loss: 1.555005] --------------- Epoch 70 ---------------
70 [D loss: 15.848288, acc: 0%] [G loss: 1.861505]
--------------- Epoch 71 ---------------
71 [D loss: 15.754863, acc: 0%] [G loss: 1.694423] --------------- Epoch 72 ---------------
72 [D loss: 16.009066, acc: 0%] [G loss: 1.632351] --------------- Epoch 73 ---------------
73 [D loss: 16.024210, acc: 0%] [G loss: 1.607228] --------------- Epoch 74 ---------------
74 [D loss: 15.328328, acc: 0%] [G loss: 1.773471] --------------- Epoch 75 ---------------
75 [D loss: 16.333130, acc: 0%] [G loss: 1.590367] --------------- Epoch 76 ---------------
76 [D loss: 16.333677, acc: 0%] [G loss: 1.708642] --------------- Epoch 77 ---------------
77 [D loss: 15.977455, acc: 0%] [G loss: 1.552239] --------------- Epoch 78 ---------------
78 [D loss: 16.045626, acc: 0%] [G loss: 1.595876] --------------- Epoch 79 ---------------
79 [D loss: 15.949694, acc: 0%] [G loss: 1.512318] --------------- Epoch 80 ---------------
80 [D loss: 16.259878, acc: 0%] [G loss: 1.668971]
--------------- Epoch 81 ---------------
81 [D loss: 16.426929, acc: 0%] [G loss: 1.449107] --------------- Epoch 82 ---------------
82 [D loss: 15.744026, acc: 0%] [G loss: 1.227162] --------------- Epoch 83 ---------------
83 [D loss: 15.506114, acc: 0%] [G loss: 1.553817] --------------- Epoch 84 ---------------
84 [D loss: 15.453319, acc: 0%] [G loss: 1.574157] --------------- Epoch 85 ---------------
85 [D loss: 15.422522, acc: 0%] [G loss: 1.587333] --------------- Epoch 86 ---------------
86 [D loss: 15.656941, acc: 0%] [G loss: 1.712736] --------------- Epoch 87 ---------------
87 [D loss: 15.952731, acc: 0%] [G loss: 1.596984] --------------- Epoch 88 ---------------
88 [D loss: 16.173292, acc: 0%] [G loss: 1.472185] --------------- Epoch 89 ---------------
89 [D loss: 16.025558, acc: 0%] [G loss: 1.482153] --------------- Epoch 90 ---------------
90 [D loss: 16.101221, acc: 0%] [G loss: 1.350537]
--------------- Epoch 91 ---------------
91 [D loss: 16.023954, acc: 0%] [G loss: 1.301898] --------------- Epoch 92 ---------------
92 [D loss: 16.130444, acc: 0%] [G loss: 1.556361] --------------- Epoch 93 ---------------
93 [D loss: 16.265495, acc: 0%] [G loss: 1.478712] --------------- Epoch 94 ---------------
94 [D loss: 15.712720, acc: 0%] [G loss: 1.838559] --------------- Epoch 95 ---------------
95 [D loss: 15.645123, acc: 0%] [G loss: 1.576984] --------------- Epoch 96 ---------------
96 [D loss: 16.402138, acc: 0%] [G loss: 1.668336] --------------- Epoch 97 ---------------
97 [D loss: 16.074524, acc: 0%] [G loss: 1.940497] --------------- Epoch 98 ---------------
98 [D loss: 15.669566, acc: 0%] [G loss: 1.482445] --------------- Epoch 99 ---------------
99 [D loss: 15.635914, acc: 0%] [G loss: 1.626511] --------------- Epoch 100 ---------------
100 [D loss: 15.786636, acc: 0%] [G loss: 1.737511]
--------------- Epoch 101 ---------------
101 [D loss: 16.203007, acc: 0%] [G loss: 1.479041] --------------- Epoch 102 ---------------
102 [D loss: 16.001593, acc: 0%] [G loss: 1.575420] --------------- Epoch 103 ---------------
103 [D loss: 15.578281, acc: 0%] [G loss: 1.811943] --------------- Epoch 104 ---------------
104 [D loss: 15.233114, acc: 0%] [G loss: 1.537146] --------------- Epoch 105 ---------------
105 [D loss: 15.675652, acc: 0%] [G loss: 1.505541] --------------- Epoch 106 ---------------
106 [D loss: 16.213984, acc: 0%] [G loss: 1.545925] --------------- Epoch 107 ---------------
107 [D loss: 15.900983, acc: 0%] [G loss: 1.391055] --------------- Epoch 108 ---------------
108 [D loss: 15.661230, acc: 0%] [G loss: 1.900498] --------------- Epoch 109 ---------------
109 [D loss: 15.760826, acc: 0%] [G loss: 1.275480] --------------- Epoch 110 ---------------
110 [D loss: 16.312220, acc: 0%] [G loss: 1.718870]
--------------- Epoch 111 ---------------
111 [D loss: 15.912663, acc: 0%] [G loss: 1.897087] --------------- Epoch 112 ---------------
112 [D loss: 16.124252, acc: 0%] [G loss: 1.489677] --------------- Epoch 113 ---------------
113 [D loss: 16.116482, acc: 0%] [G loss: 1.415087] --------------- Epoch 114 ---------------
114 [D loss: 15.869343, acc: 0%] [G loss: 1.686879] --------------- Epoch 115 ---------------
115 [D loss: 16.467516, acc: 0%] [G loss: 1.785355] --------------- Epoch 116 ---------------
116 [D loss: 15.746632, acc: 0%] [G loss: 1.490502] --------------- Epoch 117 ---------------
117 [D loss: 15.955652, acc: 0%] [G loss: 1.482315] --------------- Epoch 118 ---------------
118 [D loss: 15.836317, acc: 0%] [G loss: 1.606019] --------------- Epoch 119 ---------------
119 [D loss: 16.392841, acc: 0%] [G loss: 1.448553] --------------- Epoch 120 ---------------
120 [D loss: 15.553125, acc: 0%] [G loss: 1.739686]
--------------- Epoch 121 ---------------
121 [D loss: 15.705124, acc: 0%] [G loss: 1.374906] --------------- Epoch 122 ---------------
122 [D loss: 16.819839, acc: 0%] [G loss: 1.752774] --------------- Epoch 123 ---------------
123 [D loss: 15.607718, acc: 0%] [G loss: 1.484021] --------------- Epoch 124 ---------------
124 [D loss: 15.747031, acc: 0%] [G loss: 1.706016] --------------- Epoch 125 ---------------
125 [D loss: 16.025118, acc: 0%] [G loss: 1.609194] --------------- Epoch 126 ---------------
126 [D loss: 16.114956, acc: 0%] [G loss: 1.712559] --------------- Epoch 127 ---------------
127 [D loss: 16.294960, acc: 0%] [G loss: 1.566043] --------------- Epoch 128 ---------------
128 [D loss: 15.944510, acc: 0%] [G loss: 1.569847] --------------- Epoch 129 ---------------
129 [D loss: 15.583043, acc: 0%] [G loss: 1.666329] --------------- Epoch 130 ---------------
130 [D loss: 15.688251, acc: 0%] [G loss: 1.529257]
--------------- Epoch 131 ---------------
131 [D loss: 16.103008, acc: 0%] [G loss: 1.658401] --------------- Epoch 132 ---------------
132 [D loss: 16.270229, acc: 0%] [G loss: 1.517332] --------------- Epoch 133 ---------------
133 [D loss: 15.940175, acc: 0%] [G loss: 1.679951] --------------- Epoch 134 ---------------
134 [D loss: 15.844067, acc: 0%] [G loss: 1.788444] --------------- Epoch 135 ---------------
135 [D loss: 15.991847, acc: 0%] [G loss: 1.499970] --------------- Epoch 136 ---------------
136 [D loss: 16.057201, acc: 0%] [G loss: 1.324514] --------------- Epoch 137 ---------------
137 [D loss: 15.830442, acc: 0%] [G loss: 1.532144] --------------- Epoch 138 ---------------
138 [D loss: 15.823495, acc: 0%] [G loss: 1.738542] --------------- Epoch 139 ---------------
139 [D loss: 16.043362, acc: 0%] [G loss: 1.526759] --------------- Epoch 140 ---------------
140 [D loss: 16.118217, acc: 0%] [G loss: 1.571669]
--------------- Epoch 141 ---------------
141 [D loss: 16.150789, acc: 0%] [G loss: 1.769289] --------------- Epoch 142 ---------------
142 [D loss: 15.700511, acc: 0%] [G loss: 1.599086] --------------- Epoch 143 ---------------
143 [D loss: 15.900277, acc: 0%] [G loss: 1.356313] --------------- Epoch 144 ---------------
144 [D loss: 15.982825, acc: 0%] [G loss: 1.665449] --------------- Epoch 145 ---------------
145 [D loss: 15.827673, acc: 0%] [G loss: 1.483434] --------------- Epoch 146 ---------------
146 [D loss: 15.713967, acc: 0%] [G loss: 1.845520] --------------- Epoch 147 ---------------
147 [D loss: 15.982794, acc: 0%] [G loss: 1.761428] --------------- Epoch 148 ---------------
148 [D loss: 15.685037, acc: 0%] [G loss: 1.562754] --------------- Epoch 149 ---------------
149 [D loss: 16.073872, acc: 0%] [G loss: 1.527406] --------------- Epoch 150 ---------------
150 [D loss: 16.018778, acc: 0%] [G loss: 1.528733]
--------------- Epoch 151 ---------------
151 [D loss: 15.777444, acc: 0%] [G loss: 1.474833] --------------- Epoch 152 ---------------
152 [D loss: 15.745695, acc: 0%] [G loss: 1.575487] --------------- Epoch 153 ---------------
153 [D loss: 16.074100, acc: 0%] [G loss: 1.583672] --------------- Epoch 154 ---------------
154 [D loss: 16.212269, acc: 0%] [G loss: 1.566013] --------------- Epoch 155 ---------------
155 [D loss: 15.774660, acc: 0%] [G loss: 1.556597] --------------- Epoch 156 ---------------
156 [D loss: 15.791885, acc: 0%] [G loss: 1.543095] --------------- Epoch 157 ---------------
157 [D loss: 15.522412, acc: 0%] [G loss: 1.658551] --------------- Epoch 158 ---------------
158 [D loss: 16.217030, acc: 0%] [G loss: 1.813503] --------------- Epoch 159 ---------------
159 [D loss: 16.250757, acc: 0%] [G loss: 1.689421] --------------- Epoch 160 ---------------
160 [D loss: 15.705185, acc: 0%] [G loss: 1.900723]
--------------- Epoch 161 ---------------
161 [D loss: 15.771817, acc: 0%] [G loss: 1.671826] --------------- Epoch 162 ---------------
162 [D loss: 15.816644, acc: 0%] [G loss: 1.434016] --------------- Epoch 163 ---------------
163 [D loss: 15.984035, acc: 0%] [G loss: 1.595942] --------------- Epoch 164 ---------------
164 [D loss: 15.534586, acc: 0%] [G loss: 1.476131] --------------- Epoch 165 ---------------
165 [D loss: 15.717141, acc: 0%] [G loss: 1.221388] --------------- Epoch 166 ---------------
166 [D loss: 16.054968, acc: 0%] [G loss: 1.942191] --------------- Epoch 167 ---------------
167 [D loss: 16.415405, acc: 0%] [G loss: 1.531801] --------------- Epoch 168 ---------------
168 [D loss: 15.742938, acc: 0%] [G loss: 1.621574] --------------- Epoch 169 ---------------
169 [D loss: 15.690299, acc: 0%] [G loss: 1.600067] --------------- Epoch 170 ---------------
170 [D loss: 16.110062, acc: 0%] [G loss: 1.525374]
--------------- Epoch 171 ---------------
171 [D loss: 15.519858, acc: 0%] [G loss: 1.688321] --------------- Epoch 172 ---------------
172 [D loss: 16.197887, acc: 0%] [G loss: 1.568962] --------------- Epoch 173 ---------------
173 [D loss: 15.658637, acc: 0%] [G loss: 1.675298] --------------- Epoch 174 ---------------
174 [D loss: 16.121439, acc: 0%] [G loss: 1.787338] --------------- Epoch 175 ---------------
175 [D loss: 16.227486, acc: 0%] [G loss: 1.543301] --------------- Epoch 176 ---------------
176 [D loss: 16.334909, acc: 0%] [G loss: 1.746160] --------------- Epoch 177 ---------------
177 [D loss: 15.891551, acc: 0%] [G loss: 1.421275] --------------- Epoch 178 ---------------
178 [D loss: 16.116007, acc: 0%] [G loss: 1.713458] --------------- Epoch 179 ---------------
179 [D loss: 15.976489, acc: 0%] [G loss: 1.312873] --------------- Epoch 180 ---------------
180 [D loss: 16.009157, acc: 0%] [G loss: 1.440066]
--------------- Epoch 181 ---------------
181 [D loss: 15.763421, acc: 0%] [G loss: 1.371213] --------------- Epoch 182 ---------------
182 [D loss: 16.313457, acc: 0%] [G loss: 1.694319] --------------- Epoch 183 ---------------
183 [D loss: 16.533390, acc: 0%] [G loss: 1.545943] --------------- Epoch 184 ---------------
184 [D loss: 16.224430, acc: 0%] [G loss: 1.652375] --------------- Epoch 185 ---------------
185 [D loss: 15.648010, acc: 0%] [G loss: 1.912927] --------------- Epoch 186 ---------------
186 [D loss: 16.205925, acc: 0%] [G loss: 1.899100] --------------- Epoch 187 ---------------
187 [D loss: 15.896376, acc: 0%] [G loss: 1.596020] --------------- Epoch 188 ---------------
188 [D loss: 15.503967, acc: 0%] [G loss: 1.799671] --------------- Epoch 189 ---------------
189 [D loss: 16.231495, acc: 0%] [G loss: 1.450812] --------------- Epoch 190 ---------------
190 [D loss: 15.910720, acc: 0%] [G loss: 1.511322]
--------------- Epoch 191 ---------------
191 [D loss: 15.700500, acc: 0%] [G loss: 1.527380] --------------- Epoch 192 ---------------
192 [D loss: 16.056379, acc: 0%] [G loss: 1.555240] --------------- Epoch 193 ---------------
193 [D loss: 15.707390, acc: 0%] [G loss: 1.441534] --------------- Epoch 194 ---------------
194 [D loss: 15.607167, acc: 0%] [G loss: 1.423404] --------------- Epoch 195 ---------------
195 [D loss: 16.148533, acc: 0%] [G loss: 1.599354] --------------- Epoch 196 ---------------
196 [D loss: 16.089453, acc: 0%] [G loss: 1.827307] --------------- Epoch 197 ---------------
197 [D loss: 16.082850, acc: 0%] [G loss: 1.907995] --------------- Epoch 198 ---------------
198 [D loss: 15.921199, acc: 0%] [G loss: 1.905458] --------------- Epoch 199 ---------------
199 [D loss: 15.899825, acc: 0%] [G loss: 1.477115] --------------- Epoch 200 ---------------
200 [D loss: 15.728117, acc: 0%] [G loss: 1.828607]
########## N units 16 ########## generator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_62 (LSTM) (None, 50, 16) 1408 _________________________________________________________________ dropout_59 (Dropout) (None, 50, 16) 0 _________________________________________________________________ time_distributed_36 (TimeDis (None, 50, 2) 34 ================================================================= Total params: 1,442 Trainable params: 1,442 Non-trainable params: 0 _________________________________________________________________ None discriminator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_63 (LSTM) (None, 50, 16) 1216 _________________________________________________________________ dropout_60 (Dropout) (None, 50, 16) 0 _________________________________________________________________ time_distributed_37 (TimeDis (None, 50, 1) 17 _________________________________________________________________ average_pooling1d_20 (Averag (None, 1, 1) 0 _________________________________________________________________ flatten_20 (Flatten) (None, 1) 0 ================================================================= Total params: 1,233 Trainable params: 1,233 Non-trainable params: 0 _________________________________________________________________ None GAN _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_20 (InputLayer) (None, 50, 5) 0 _________________________________________________________________ sequential_39 (Sequential) (None, 50, 2) 1442 _________________________________________________________________ sequential_40 (Sequential) (None, 1) 1233 ================================================================= Total params: 2,675 Trainable params: 1,442 Non-trainable params: 1,233 _________________________________________________________________ None --------------- Epoch 1 ---------------
1 [D loss: 15.526864, acc: 0%] [G loss: 1.571853]
--------------- Epoch 2 ---------------
2 [D loss: 16.499128, acc: 0%] [G loss: 1.701134] --------------- Epoch 3 ---------------
3 [D loss: 16.027420, acc: 0%] [G loss: 1.690939] --------------- Epoch 4 ---------------
4 [D loss: 15.742685, acc: 0%] [G loss: 1.435235] --------------- Epoch 5 ---------------
5 [D loss: 15.844975, acc: 0%] [G loss: 1.612460] --------------- Epoch 6 ---------------
6 [D loss: 16.133757, acc: 0%] [G loss: 1.738402] --------------- Epoch 7 ---------------
7 [D loss: 16.000975, acc: 0%] [G loss: 1.659525] --------------- Epoch 8 ---------------
8 [D loss: 15.822689, acc: 0%] [G loss: 1.688146] --------------- Epoch 9 ---------------
9 [D loss: 15.992999, acc: 0%] [G loss: 1.382316] --------------- Epoch 10 ---------------
10 [D loss: 16.414194, acc: 0%] [G loss: 1.730018]
--------------- Epoch 11 ---------------
11 [D loss: 16.422037, acc: 0%] [G loss: 1.625704] --------------- Epoch 12 ---------------
12 [D loss: 15.927192, acc: 0%] [G loss: 1.571837] --------------- Epoch 13 ---------------
13 [D loss: 15.931881, acc: 0%] [G loss: 1.561636] --------------- Epoch 14 ---------------
14 [D loss: 15.824091, acc: 0%] [G loss: 1.857262] --------------- Epoch 15 ---------------
15 [D loss: 15.874186, acc: 0%] [G loss: 1.738947] --------------- Epoch 16 ---------------
16 [D loss: 15.849995, acc: 0%] [G loss: 1.564434] --------------- Epoch 17 ---------------
17 [D loss: 16.218544, acc: 0%] [G loss: 1.495176] --------------- Epoch 18 ---------------
18 [D loss: 15.910048, acc: 0%] [G loss: 1.435223] --------------- Epoch 19 ---------------
19 [D loss: 16.135427, acc: 0%] [G loss: 1.640984] --------------- Epoch 20 ---------------
20 [D loss: 16.522854, acc: 0%] [G loss: 1.613840]
--------------- Epoch 21 ---------------
21 [D loss: 15.884249, acc: 0%] [G loss: 1.733757] --------------- Epoch 22 ---------------
22 [D loss: 16.150993, acc: 0%] [G loss: 1.541417] --------------- Epoch 23 ---------------
23 [D loss: 15.815909, acc: 0%] [G loss: 1.667652] --------------- Epoch 24 ---------------
24 [D loss: 15.748118, acc: 0%] [G loss: 1.614371] --------------- Epoch 25 ---------------
25 [D loss: 15.841260, acc: 0%] [G loss: 1.716248] --------------- Epoch 26 ---------------
26 [D loss: 15.468090, acc: 0%] [G loss: 1.464901] --------------- Epoch 27 ---------------
27 [D loss: 16.004213, acc: 0%] [G loss: 1.392183] --------------- Epoch 28 ---------------
28 [D loss: 15.844113, acc: 0%] [G loss: 1.724826] --------------- Epoch 29 ---------------
29 [D loss: 15.962990, acc: 0%] [G loss: 1.841937] --------------- Epoch 30 ---------------
30 [D loss: 15.932665, acc: 0%] [G loss: 1.630792]
--------------- Epoch 31 ---------------
31 [D loss: 16.104147, acc: 0%] [G loss: 1.888526] --------------- Epoch 32 ---------------
32 [D loss: 15.941484, acc: 0%] [G loss: 1.470259] --------------- Epoch 33 ---------------
33 [D loss: 15.753471, acc: 0%] [G loss: 1.445539] --------------- Epoch 34 ---------------
34 [D loss: 15.957688, acc: 0%] [G loss: 1.641849] --------------- Epoch 35 ---------------
35 [D loss: 16.124573, acc: 0%] [G loss: 2.020876] --------------- Epoch 36 ---------------
36 [D loss: 15.900434, acc: 0%] [G loss: 1.311012] --------------- Epoch 37 ---------------
37 [D loss: 15.975209, acc: 0%] [G loss: 1.447426] --------------- Epoch 38 ---------------
38 [D loss: 15.479131, acc: 0%] [G loss: 1.542337] --------------- Epoch 39 ---------------
39 [D loss: 16.035606, acc: 0%] [G loss: 1.541560] --------------- Epoch 40 ---------------
40 [D loss: 16.117737, acc: 0%] [G loss: 1.835258]
--------------- Epoch 41 ---------------
41 [D loss: 16.060230, acc: 0%] [G loss: 1.687586] --------------- Epoch 42 ---------------
42 [D loss: 15.918585, acc: 0%] [G loss: 1.658261] --------------- Epoch 43 ---------------
43 [D loss: 15.868798, acc: 0%] [G loss: 1.678880] --------------- Epoch 44 ---------------
44 [D loss: 15.973824, acc: 0%] [G loss: 1.536244] --------------- Epoch 45 ---------------
45 [D loss: 16.068510, acc: 0%] [G loss: 1.306865] --------------- Epoch 46 ---------------
46 [D loss: 15.818397, acc: 0%] [G loss: 1.539119] --------------- Epoch 47 ---------------
47 [D loss: 15.683941, acc: 0%] [G loss: 1.426421] --------------- Epoch 48 ---------------
48 [D loss: 16.171970, acc: 0%] [G loss: 1.579335] --------------- Epoch 49 ---------------
49 [D loss: 15.844611, acc: 0%] [G loss: 1.635070] --------------- Epoch 50 ---------------
50 [D loss: 15.745028, acc: 0%] [G loss: 1.875839]
--------------- Epoch 51 ---------------
51 [D loss: 16.233210, acc: 0%] [G loss: 1.502618] --------------- Epoch 52 ---------------
52 [D loss: 15.947420, acc: 0%] [G loss: 1.654209] --------------- Epoch 53 ---------------
53 [D loss: 15.876113, acc: 0%] [G loss: 1.564896] --------------- Epoch 54 ---------------
54 [D loss: 15.616358, acc: 0%] [G loss: 1.738046] --------------- Epoch 55 ---------------
55 [D loss: 15.892595, acc: 0%] [G loss: 1.593264] --------------- Epoch 56 ---------------
56 [D loss: 16.131721, acc: 0%] [G loss: 1.802465] --------------- Epoch 57 ---------------
57 [D loss: 15.354412, acc: 0%] [G loss: 1.258142] --------------- Epoch 58 ---------------
58 [D loss: 15.435907, acc: 0%] [G loss: 1.403479] --------------- Epoch 59 ---------------
59 [D loss: 16.131264, acc: 0%] [G loss: 1.468593] --------------- Epoch 60 ---------------
60 [D loss: 15.860603, acc: 0%] [G loss: 1.563378]
--------------- Epoch 61 ---------------
61 [D loss: 15.627783, acc: 0%] [G loss: 1.435684] --------------- Epoch 62 ---------------
62 [D loss: 16.528872, acc: 0%] [G loss: 1.419364] --------------- Epoch 63 ---------------
63 [D loss: 16.103197, acc: 0%] [G loss: 1.781819] --------------- Epoch 64 ---------------
64 [D loss: 16.082451, acc: 0%] [G loss: 1.597065] --------------- Epoch 65 ---------------
65 [D loss: 15.670720, acc: 0%] [G loss: 1.325220] --------------- Epoch 66 ---------------
66 [D loss: 16.052933, acc: 0%] [G loss: 1.805313] --------------- Epoch 67 ---------------
67 [D loss: 15.849991, acc: 0%] [G loss: 1.597997] --------------- Epoch 68 ---------------
68 [D loss: 15.838813, acc: 0%] [G loss: 1.533128] --------------- Epoch 69 ---------------
69 [D loss: 15.740126, acc: 0%] [G loss: 1.742261] --------------- Epoch 70 ---------------
70 [D loss: 15.605111, acc: 0%] [G loss: 1.579644]
--------------- Epoch 71 ---------------
71 [D loss: 15.479339, acc: 0%] [G loss: 1.571836] --------------- Epoch 72 ---------------
72 [D loss: 16.133656, acc: 0%] [G loss: 1.559739] --------------- Epoch 73 ---------------
73 [D loss: 15.738238, acc: 0%] [G loss: 1.419723] --------------- Epoch 74 ---------------
74 [D loss: 15.789889, acc: 0%] [G loss: 1.432984] --------------- Epoch 75 ---------------
75 [D loss: 15.822619, acc: 0%] [G loss: 1.674646] --------------- Epoch 76 ---------------
76 [D loss: 16.132158, acc: 0%] [G loss: 1.822799] --------------- Epoch 77 ---------------
77 [D loss: 15.568275, acc: 0%] [G loss: 1.560884] --------------- Epoch 78 ---------------
78 [D loss: 15.985308, acc: 0%] [G loss: 1.597505] --------------- Epoch 79 ---------------
79 [D loss: 15.918224, acc: 0%] [G loss: 1.556579] --------------- Epoch 80 ---------------
80 [D loss: 16.017408, acc: 0%] [G loss: 1.650240]
--------------- Epoch 81 ---------------
81 [D loss: 15.462349, acc: 0%] [G loss: 1.720449] --------------- Epoch 82 ---------------
82 [D loss: 15.891733, acc: 0%] [G loss: 1.649269] --------------- Epoch 83 ---------------
83 [D loss: 15.527041, acc: 0%] [G loss: 1.582831] --------------- Epoch 84 ---------------
84 [D loss: 16.028708, acc: 0%] [G loss: 1.694007] --------------- Epoch 85 ---------------
85 [D loss: 16.071205, acc: 0%] [G loss: 1.736534] --------------- Epoch 86 ---------------
86 [D loss: 16.163845, acc: 0%] [G loss: 1.802009] --------------- Epoch 87 ---------------
87 [D loss: 15.948998, acc: 0%] [G loss: 1.842725] --------------- Epoch 88 ---------------
88 [D loss: 15.835043, acc: 0%] [G loss: 1.795006] --------------- Epoch 89 ---------------
89 [D loss: 16.039095, acc: 0%] [G loss: 1.481435] --------------- Epoch 90 ---------------
90 [D loss: 15.828753, acc: 0%] [G loss: 1.711043]
--------------- Epoch 91 ---------------
91 [D loss: 16.386923, acc: 0%] [G loss: 1.304413] --------------- Epoch 92 ---------------
92 [D loss: 16.269794, acc: 0%] [G loss: 1.384383] --------------- Epoch 93 ---------------
93 [D loss: 16.454449, acc: 0%] [G loss: 1.633529] --------------- Epoch 94 ---------------
94 [D loss: 15.825148, acc: 0%] [G loss: 1.628955] --------------- Epoch 95 ---------------
95 [D loss: 15.658757, acc: 0%] [G loss: 1.910015] --------------- Epoch 96 ---------------
96 [D loss: 16.292141, acc: 0%] [G loss: 1.883774] --------------- Epoch 97 ---------------
97 [D loss: 15.640224, acc: 0%] [G loss: 1.764425] --------------- Epoch 98 ---------------
98 [D loss: 16.032282, acc: 0%] [G loss: 1.545317] --------------- Epoch 99 ---------------
99 [D loss: 15.701758, acc: 0%] [G loss: 1.374132] --------------- Epoch 100 ---------------
100 [D loss: 16.072603, acc: 0%] [G loss: 1.750533]
--------------- Epoch 101 ---------------
101 [D loss: 15.699347, acc: 0%] [G loss: 1.414578] --------------- Epoch 102 ---------------
102 [D loss: 16.188700, acc: 0%] [G loss: 1.512618] --------------- Epoch 103 ---------------
103 [D loss: 15.243372, acc: 0%] [G loss: 1.690634] --------------- Epoch 104 ---------------
104 [D loss: 16.156603, acc: 0%] [G loss: 1.600227] --------------- Epoch 105 ---------------
105 [D loss: 16.222734, acc: 0%] [G loss: 1.809938] --------------- Epoch 106 ---------------
106 [D loss: 15.797258, acc: 0%] [G loss: 1.552202] --------------- Epoch 107 ---------------
107 [D loss: 16.182501, acc: 0%] [G loss: 1.280400] --------------- Epoch 108 ---------------
108 [D loss: 16.158503, acc: 0%] [G loss: 1.444895] --------------- Epoch 109 ---------------
109 [D loss: 16.115856, acc: 0%] [G loss: 1.442582] --------------- Epoch 110 ---------------
110 [D loss: 15.759265, acc: 0%] [G loss: 1.656623]
--------------- Epoch 111 ---------------
111 [D loss: 16.577076, acc: 0%] [G loss: 1.468884] --------------- Epoch 112 ---------------
112 [D loss: 16.313873, acc: 0%] [G loss: 1.407014] --------------- Epoch 113 ---------------
113 [D loss: 15.933405, acc: 0%] [G loss: 1.703715] --------------- Epoch 114 ---------------
114 [D loss: 16.146631, acc: 0%] [G loss: 1.784615] --------------- Epoch 115 ---------------
115 [D loss: 16.116781, acc: 0%] [G loss: 1.691926] --------------- Epoch 116 ---------------
116 [D loss: 15.572573, acc: 0%] [G loss: 1.495829] --------------- Epoch 117 ---------------
117 [D loss: 15.941835, acc: 0%] [G loss: 1.602516] --------------- Epoch 118 ---------------
118 [D loss: 16.204018, acc: 0%] [G loss: 1.666633] --------------- Epoch 119 ---------------
119 [D loss: 16.254486, acc: 0%] [G loss: 1.497062] --------------- Epoch 120 ---------------
120 [D loss: 16.047779, acc: 0%] [G loss: 1.874111]
--------------- Epoch 121 ---------------
121 [D loss: 15.355593, acc: 0%] [G loss: 1.832829] --------------- Epoch 122 ---------------
122 [D loss: 15.938095, acc: 0%] [G loss: 1.868617] --------------- Epoch 123 ---------------
123 [D loss: 15.966650, acc: 0%] [G loss: 1.609529] --------------- Epoch 124 ---------------
124 [D loss: 15.761163, acc: 0%] [G loss: 1.775553] --------------- Epoch 125 ---------------
125 [D loss: 16.130604, acc: 0%] [G loss: 1.881685] --------------- Epoch 126 ---------------
126 [D loss: 15.707820, acc: 0%] [G loss: 1.598988] --------------- Epoch 127 ---------------
127 [D loss: 15.423105, acc: 0%] [G loss: 1.655819] --------------- Epoch 128 ---------------
128 [D loss: 16.372639, acc: 0%] [G loss: 1.452529] --------------- Epoch 129 ---------------
129 [D loss: 15.927251, acc: 0%] [G loss: 1.790789] --------------- Epoch 130 ---------------
130 [D loss: 16.025644, acc: 0%] [G loss: 1.484674]
--------------- Epoch 131 ---------------
131 [D loss: 15.753783, acc: 0%] [G loss: 1.960452] --------------- Epoch 132 ---------------
132 [D loss: 16.446951, acc: 0%] [G loss: 1.673705] --------------- Epoch 133 ---------------
133 [D loss: 15.781274, acc: 0%] [G loss: 1.422341] --------------- Epoch 134 ---------------
134 [D loss: 16.243361, acc: 0%] [G loss: 1.473229] --------------- Epoch 135 ---------------
135 [D loss: 15.756761, acc: 0%] [G loss: 1.375454] --------------- Epoch 136 ---------------
136 [D loss: 15.913621, acc: 0%] [G loss: 1.660900] --------------- Epoch 137 ---------------
137 [D loss: 16.298512, acc: 0%] [G loss: 1.540828] --------------- Epoch 138 ---------------
138 [D loss: 16.421669, acc: 0%] [G loss: 1.544639] --------------- Epoch 139 ---------------
139 [D loss: 15.581784, acc: 0%] [G loss: 1.616474] --------------- Epoch 140 ---------------
140 [D loss: 16.143709, acc: 0%] [G loss: 1.598524]
--------------- Epoch 141 ---------------
141 [D loss: 15.326074, acc: 0%] [G loss: 1.490039] --------------- Epoch 142 ---------------
142 [D loss: 16.125032, acc: 0%] [G loss: 1.396585] --------------- Epoch 143 ---------------
143 [D loss: 16.028164, acc: 0%] [G loss: 2.006952] --------------- Epoch 144 ---------------
144 [D loss: 16.128471, acc: 0%] [G loss: 1.723709] --------------- Epoch 145 ---------------
145 [D loss: 15.581550, acc: 0%] [G loss: 1.105382] --------------- Epoch 146 ---------------
146 [D loss: 15.404273, acc: 0%] [G loss: 1.649745] --------------- Epoch 147 ---------------
147 [D loss: 16.127052, acc: 0%] [G loss: 1.626780] --------------- Epoch 148 ---------------
148 [D loss: 15.614319, acc: 0%] [G loss: 1.603069] --------------- Epoch 149 ---------------
149 [D loss: 16.061348, acc: 0%] [G loss: 1.111699] --------------- Epoch 150 ---------------
150 [D loss: 15.865358, acc: 0%] [G loss: 1.971372]
--------------- Epoch 151 ---------------
151 [D loss: 15.964150, acc: 0%] [G loss: 1.661410] --------------- Epoch 152 ---------------
152 [D loss: 16.193913, acc: 0%] [G loss: 1.596449] --------------- Epoch 153 ---------------
153 [D loss: 15.787200, acc: 0%] [G loss: 1.360591] --------------- Epoch 154 ---------------
154 [D loss: 15.622075, acc: 0%] [G loss: 1.646922] --------------- Epoch 155 ---------------
155 [D loss: 16.132669, acc: 0%] [G loss: 1.752008] --------------- Epoch 156 ---------------
156 [D loss: 16.116842, acc: 0%] [G loss: 1.438424] --------------- Epoch 157 ---------------
157 [D loss: 16.157698, acc: 0%] [G loss: 1.831171] --------------- Epoch 158 ---------------
158 [D loss: 15.907785, acc: 0%] [G loss: 1.423223] --------------- Epoch 159 ---------------
159 [D loss: 15.486089, acc: 0%] [G loss: 1.456410] --------------- Epoch 160 ---------------
160 [D loss: 16.054947, acc: 0%] [G loss: 1.967921]
--------------- Epoch 161 ---------------
161 [D loss: 15.473951, acc: 0%] [G loss: 1.632475] --------------- Epoch 162 ---------------
162 [D loss: 15.566884, acc: 0%] [G loss: 1.700008] --------------- Epoch 163 ---------------
163 [D loss: 15.937019, acc: 0%] [G loss: 1.620687] --------------- Epoch 164 ---------------
164 [D loss: 16.359596, acc: 0%] [G loss: 1.669458] --------------- Epoch 165 ---------------
165 [D loss: 15.818108, acc: 0%] [G loss: 1.536847] --------------- Epoch 166 ---------------
166 [D loss: 16.095661, acc: 0%] [G loss: 1.620180] --------------- Epoch 167 ---------------
167 [D loss: 16.453651, acc: 0%] [G loss: 1.544162] --------------- Epoch 168 ---------------
168 [D loss: 16.106148, acc: 0%] [G loss: 1.705709] --------------- Epoch 169 ---------------
169 [D loss: 16.023212, acc: 0%] [G loss: 1.701271] --------------- Epoch 170 ---------------
170 [D loss: 15.829756, acc: 0%] [G loss: 1.905116]
--------------- Epoch 171 ---------------
171 [D loss: 15.987038, acc: 0%] [G loss: 1.497768] --------------- Epoch 172 ---------------
172 [D loss: 15.746178, acc: 0%] [G loss: 1.546332] --------------- Epoch 173 ---------------
173 [D loss: 15.595694, acc: 0%] [G loss: 1.760994] --------------- Epoch 174 ---------------
174 [D loss: 16.114672, acc: 0%] [G loss: 1.575463] --------------- Epoch 175 ---------------
175 [D loss: 16.053982, acc: 0%] [G loss: 1.475420] --------------- Epoch 176 ---------------
176 [D loss: 15.508592, acc: 0%] [G loss: 1.643948] --------------- Epoch 177 ---------------
177 [D loss: 15.726924, acc: 0%] [G loss: 1.222505] --------------- Epoch 178 ---------------
178 [D loss: 16.553244, acc: 0%] [G loss: 1.623582] --------------- Epoch 179 ---------------
179 [D loss: 15.898852, acc: 0%] [G loss: 1.434817] --------------- Epoch 180 ---------------
180 [D loss: 15.259079, acc: 0%] [G loss: 1.393316]
--------------- Epoch 181 ---------------
181 [D loss: 16.032766, acc: 0%] [G loss: 1.457490] --------------- Epoch 182 ---------------
182 [D loss: 16.215372, acc: 0%] [G loss: 1.564255] --------------- Epoch 183 ---------------
183 [D loss: 15.844995, acc: 0%] [G loss: 1.613432] --------------- Epoch 184 ---------------
184 [D loss: 15.943069, acc: 0%] [G loss: 1.468913] --------------- Epoch 185 ---------------
185 [D loss: 15.543568, acc: 0%] [G loss: 1.745055] --------------- Epoch 186 ---------------
186 [D loss: 16.128973, acc: 0%] [G loss: 1.457973] --------------- Epoch 187 ---------------
187 [D loss: 15.897048, acc: 0%] [G loss: 1.575821] --------------- Epoch 188 ---------------
188 [D loss: 16.001322, acc: 0%] [G loss: 1.747514] --------------- Epoch 189 ---------------
189 [D loss: 15.838546, acc: 0%] [G loss: 1.452338] --------------- Epoch 190 ---------------
190 [D loss: 16.163689, acc: 0%] [G loss: 1.730777]
--------------- Epoch 191 ---------------
191 [D loss: 15.697495, acc: 0%] [G loss: 1.435136] --------------- Epoch 192 ---------------
192 [D loss: 15.828603, acc: 0%] [G loss: 1.511776] --------------- Epoch 193 ---------------
193 [D loss: 15.867246, acc: 0%] [G loss: 1.712705] --------------- Epoch 194 ---------------
194 [D loss: 15.469098, acc: 0%] [G loss: 1.720956] --------------- Epoch 195 ---------------
195 [D loss: 15.831402, acc: 0%] [G loss: 1.719032] --------------- Epoch 196 ---------------
196 [D loss: 15.634424, acc: 0%] [G loss: 1.554823] --------------- Epoch 197 ---------------
197 [D loss: 16.112116, acc: 0%] [G loss: 1.793299] --------------- Epoch 198 ---------------
198 [D loss: 15.745666, acc: 0%] [G loss: 1.717282] --------------- Epoch 199 ---------------
199 [D loss: 16.198694, acc: 0%] [G loss: 1.463763] --------------- Epoch 200 ---------------
200 [D loss: 15.772562, acc: 0%] [G loss: 1.335691]
########## N units 32 ########## generator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_64 (LSTM) (None, 50, 32) 4864 _________________________________________________________________ dropout_61 (Dropout) (None, 50, 32) 0 _________________________________________________________________ time_distributed_38 (TimeDis (None, 50, 2) 66 ================================================================= Total params: 4,930 Trainable params: 4,930 Non-trainable params: 0 _________________________________________________________________ None discriminator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_65 (LSTM) (None, 50, 32) 4480 _________________________________________________________________ dropout_62 (Dropout) (None, 50, 32) 0 _________________________________________________________________ time_distributed_39 (TimeDis (None, 50, 1) 33 _________________________________________________________________ average_pooling1d_21 (Averag (None, 1, 1) 0 _________________________________________________________________ flatten_21 (Flatten) (None, 1) 0 ================================================================= Total params: 4,513 Trainable params: 4,513 Non-trainable params: 0 _________________________________________________________________ None GAN _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_21 (InputLayer) (None, 50, 5) 0 _________________________________________________________________ sequential_41 (Sequential) (None, 50, 2) 4930 _________________________________________________________________ sequential_42 (Sequential) (None, 1) 4513 ================================================================= Total params: 9,443 Trainable params: 4,930 Non-trainable params: 4,513 _________________________________________________________________ None --------------- Epoch 1 ---------------
1 [D loss: 15.593517, acc: 0%] [G loss: 1.526654]
--------------- Epoch 2 ---------------
2 [D loss: 16.096497, acc: 0%] [G loss: 1.876264] --------------- Epoch 3 ---------------
3 [D loss: 15.605979, acc: 0%] [G loss: 1.687673] --------------- Epoch 4 ---------------
4 [D loss: 16.014881, acc: 0%] [G loss: 1.541707] --------------- Epoch 5 ---------------
5 [D loss: 16.065197, acc: 0%] [G loss: 1.786612] --------------- Epoch 6 ---------------
6 [D loss: 15.949964, acc: 0%] [G loss: 1.580287] --------------- Epoch 7 ---------------
7 [D loss: 16.017786, acc: 0%] [G loss: 1.296432] --------------- Epoch 8 ---------------
8 [D loss: 15.751572, acc: 0%] [G loss: 1.570674] --------------- Epoch 9 ---------------
9 [D loss: 15.589145, acc: 0%] [G loss: 1.948883] --------------- Epoch 10 ---------------
10 [D loss: 16.017305, acc: 0%] [G loss: 1.538626]
--------------- Epoch 11 ---------------
11 [D loss: 15.602583, acc: 0%] [G loss: 1.514958] --------------- Epoch 12 ---------------
12 [D loss: 15.632116, acc: 0%] [G loss: 1.809081] --------------- Epoch 13 ---------------
13 [D loss: 16.163862, acc: 0%] [G loss: 1.722496] --------------- Epoch 14 ---------------
14 [D loss: 16.001236, acc: 0%] [G loss: 1.608462] --------------- Epoch 15 ---------------
15 [D loss: 15.891337, acc: 0%] [G loss: 1.728987] --------------- Epoch 16 ---------------
16 [D loss: 16.035801, acc: 0%] [G loss: 1.665848] --------------- Epoch 17 ---------------
17 [D loss: 16.027008, acc: 0%] [G loss: 1.457250] --------------- Epoch 18 ---------------
18 [D loss: 15.835633, acc: 0%] [G loss: 1.516970] --------------- Epoch 19 ---------------
19 [D loss: 16.409822, acc: 0%] [G loss: 1.657275] --------------- Epoch 20 ---------------
20 [D loss: 16.029375, acc: 0%] [G loss: 1.375527]
--------------- Epoch 21 ---------------
21 [D loss: 16.339220, acc: 0%] [G loss: 1.481162] --------------- Epoch 22 ---------------
22 [D loss: 16.377769, acc: 0%] [G loss: 1.839374] --------------- Epoch 23 ---------------
23 [D loss: 15.702494, acc: 0%] [G loss: 1.561293] --------------- Epoch 24 ---------------
24 [D loss: 15.835626, acc: 0%] [G loss: 1.433126] --------------- Epoch 25 ---------------
25 [D loss: 15.968641, acc: 0%] [G loss: 1.900828] --------------- Epoch 26 ---------------
26 [D loss: 16.000811, acc: 0%] [G loss: 1.433431] --------------- Epoch 27 ---------------
27 [D loss: 15.760777, acc: 0%] [G loss: 1.220659] --------------- Epoch 28 ---------------
28 [D loss: 16.009895, acc: 0%] [G loss: 1.457658] --------------- Epoch 29 ---------------
29 [D loss: 15.121134, acc: 0%] [G loss: 1.275207] --------------- Epoch 30 ---------------
30 [D loss: 15.728733, acc: 0%] [G loss: 1.218367]
--------------- Epoch 31 ---------------
31 [D loss: 15.941820, acc: 0%] [G loss: 1.688352] --------------- Epoch 32 ---------------
32 [D loss: 16.187447, acc: 0%] [G loss: 1.569467] --------------- Epoch 33 ---------------
33 [D loss: 15.791378, acc: 0%] [G loss: 1.634581] --------------- Epoch 34 ---------------
34 [D loss: 15.676977, acc: 0%] [G loss: 1.475374] --------------- Epoch 35 ---------------
35 [D loss: 16.412676, acc: 0%] [G loss: 1.528075] --------------- Epoch 36 ---------------
36 [D loss: 16.010355, acc: 0%] [G loss: 1.742446] --------------- Epoch 37 ---------------
37 [D loss: 16.242792, acc: 0%] [G loss: 1.456485] --------------- Epoch 38 ---------------
38 [D loss: 16.165876, acc: 0%] [G loss: 1.616068] --------------- Epoch 39 ---------------
39 [D loss: 15.975800, acc: 0%] [G loss: 1.589519] --------------- Epoch 40 ---------------
40 [D loss: 15.620242, acc: 0%] [G loss: 1.473394]
--------------- Epoch 41 ---------------
41 [D loss: 15.692784, acc: 0%] [G loss: 1.428399] --------------- Epoch 42 ---------------
42 [D loss: 15.405291, acc: 0%] [G loss: 1.327662] --------------- Epoch 43 ---------------
43 [D loss: 16.013445, acc: 0%] [G loss: 1.523982] --------------- Epoch 44 ---------------
44 [D loss: 15.989591, acc: 0%] [G loss: 1.525766] --------------- Epoch 45 ---------------
45 [D loss: 16.170994, acc: 0%] [G loss: 1.555665] --------------- Epoch 46 ---------------
46 [D loss: 16.082003, acc: 0%] [G loss: 1.100746] --------------- Epoch 47 ---------------
47 [D loss: 16.304482, acc: 0%] [G loss: 1.600717] --------------- Epoch 48 ---------------
48 [D loss: 15.652458, acc: 0%] [G loss: 1.713997] --------------- Epoch 49 ---------------
49 [D loss: 16.007582, acc: 0%] [G loss: 1.508082] --------------- Epoch 50 ---------------
50 [D loss: 15.699226, acc: 0%] [G loss: 1.533642]
--------------- Epoch 51 ---------------
51 [D loss: 15.891225, acc: 0%] [G loss: 1.906308] --------------- Epoch 52 ---------------
52 [D loss: 15.880632, acc: 0%] [G loss: 1.698630] --------------- Epoch 53 ---------------
53 [D loss: 16.101948, acc: 0%] [G loss: 1.610256] --------------- Epoch 54 ---------------
54 [D loss: 15.410490, acc: 0%] [G loss: 1.599067] --------------- Epoch 55 ---------------
55 [D loss: 16.311209, acc: 0%] [G loss: 1.601876] --------------- Epoch 56 ---------------
56 [D loss: 15.917598, acc: 0%] [G loss: 1.673215] --------------- Epoch 57 ---------------
57 [D loss: 15.738845, acc: 0%] [G loss: 1.316845] --------------- Epoch 58 ---------------
58 [D loss: 15.857004, acc: 0%] [G loss: 1.755125] --------------- Epoch 59 ---------------
59 [D loss: 15.946133, acc: 0%] [G loss: 1.582383] --------------- Epoch 60 ---------------
60 [D loss: 15.721088, acc: 0%] [G loss: 1.613655]
--------------- Epoch 61 ---------------
61 [D loss: 15.941074, acc: 0%] [G loss: 1.352039] --------------- Epoch 62 ---------------
62 [D loss: 15.904973, acc: 0%] [G loss: 1.529946] --------------- Epoch 63 ---------------
63 [D loss: 15.906208, acc: 0%] [G loss: 1.379418] --------------- Epoch 64 ---------------
64 [D loss: 15.658485, acc: 0%] [G loss: 1.767989] --------------- Epoch 65 ---------------
65 [D loss: 15.871434, acc: 0%] [G loss: 1.778733] --------------- Epoch 66 ---------------
66 [D loss: 16.055790, acc: 0%] [G loss: 1.571452] --------------- Epoch 67 ---------------
67 [D loss: 16.053242, acc: 0%] [G loss: 1.624800] --------------- Epoch 68 ---------------
68 [D loss: 15.696156, acc: 0%] [G loss: 1.752360] --------------- Epoch 69 ---------------
69 [D loss: 15.859665, acc: 0%] [G loss: 1.642939] --------------- Epoch 70 ---------------
70 [D loss: 15.998986, acc: 0%] [G loss: 1.526549]
--------------- Epoch 71 ---------------
71 [D loss: 15.863653, acc: 0%] [G loss: 1.433268] --------------- Epoch 72 ---------------
72 [D loss: 16.373768, acc: 0%] [G loss: 1.510736] --------------- Epoch 73 ---------------
73 [D loss: 16.065121, acc: 0%] [G loss: 1.762412] --------------- Epoch 74 ---------------
74 [D loss: 16.024538, acc: 0%] [G loss: 1.539191] --------------- Epoch 75 ---------------
75 [D loss: 16.248272, acc: 0%] [G loss: 1.544494] --------------- Epoch 76 ---------------
76 [D loss: 16.076317, acc: 0%] [G loss: 1.692682] --------------- Epoch 77 ---------------
77 [D loss: 15.786634, acc: 0%] [G loss: 1.787209] --------------- Epoch 78 ---------------
78 [D loss: 15.749854, acc: 0%] [G loss: 1.647909] --------------- Epoch 79 ---------------
79 [D loss: 16.354509, acc: 0%] [G loss: 1.683064] --------------- Epoch 80 ---------------
80 [D loss: 16.029913, acc: 0%] [G loss: 1.761456]
--------------- Epoch 81 ---------------
81 [D loss: 15.500829, acc: 0%] [G loss: 1.453768] --------------- Epoch 82 ---------------
82 [D loss: 15.925123, acc: 0%] [G loss: 1.598755] --------------- Epoch 83 ---------------
83 [D loss: 15.825201, acc: 0%] [G loss: 1.686084] --------------- Epoch 84 ---------------
84 [D loss: 15.466615, acc: 0%] [G loss: 1.341886] --------------- Epoch 85 ---------------
85 [D loss: 16.208792, acc: 0%] [G loss: 1.595200] --------------- Epoch 86 ---------------
86 [D loss: 15.939857, acc: 0%] [G loss: 1.557899] --------------- Epoch 87 ---------------
87 [D loss: 15.892132, acc: 0%] [G loss: 1.707782] --------------- Epoch 88 ---------------
88 [D loss: 15.903750, acc: 0%] [G loss: 1.722343] --------------- Epoch 89 ---------------
89 [D loss: 15.632763, acc: 0%] [G loss: 1.537262] --------------- Epoch 90 ---------------
90 [D loss: 16.169655, acc: 0%] [G loss: 1.827452]
--------------- Epoch 91 ---------------
91 [D loss: 15.800654, acc: 0%] [G loss: 1.561767] --------------- Epoch 92 ---------------
92 [D loss: 16.041355, acc: 0%] [G loss: 1.259755] --------------- Epoch 93 ---------------
93 [D loss: 16.278471, acc: 0%] [G loss: 1.706467] --------------- Epoch 94 ---------------
94 [D loss: 15.610088, acc: 0%] [G loss: 1.820223] --------------- Epoch 95 ---------------
95 [D loss: 15.855645, acc: 0%] [G loss: 1.462147] --------------- Epoch 96 ---------------
96 [D loss: 16.366308, acc: 0%] [G loss: 1.772851] --------------- Epoch 97 ---------------
97 [D loss: 15.862999, acc: 0%] [G loss: 1.664302] --------------- Epoch 98 ---------------
98 [D loss: 15.910274, acc: 0%] [G loss: 1.511374] --------------- Epoch 99 ---------------
99 [D loss: 16.404058, acc: 0%] [G loss: 1.483157] --------------- Epoch 100 ---------------
100 [D loss: 15.733566, acc: 0%] [G loss: 1.379910]
--------------- Epoch 101 ---------------
101 [D loss: 15.736397, acc: 0%] [G loss: 1.423396] --------------- Epoch 102 ---------------
102 [D loss: 15.857459, acc: 0%] [G loss: 1.709476] --------------- Epoch 103 ---------------
103 [D loss: 16.012468, acc: 0%] [G loss: 1.969780] --------------- Epoch 104 ---------------
104 [D loss: 15.737567, acc: 0%] [G loss: 1.550623] --------------- Epoch 105 ---------------
105 [D loss: 15.794437, acc: 0%] [G loss: 1.790568] --------------- Epoch 106 ---------------
106 [D loss: 15.924973, acc: 0%] [G loss: 1.690751] --------------- Epoch 107 ---------------
107 [D loss: 15.719218, acc: 0%] [G loss: 1.427481] --------------- Epoch 108 ---------------
108 [D loss: 16.258343, acc: 0%] [G loss: 1.587215] --------------- Epoch 109 ---------------
109 [D loss: 16.244408, acc: 0%] [G loss: 1.906476] --------------- Epoch 110 ---------------
110 [D loss: 15.903549, acc: 0%] [G loss: 1.647676]
--------------- Epoch 111 ---------------
111 [D loss: 16.016352, acc: 0%] [G loss: 1.801856] --------------- Epoch 112 ---------------
112 [D loss: 15.718854, acc: 0%] [G loss: 1.520201] --------------- Epoch 113 ---------------
113 [D loss: 15.952146, acc: 0%] [G loss: 1.539811] --------------- Epoch 114 ---------------
114 [D loss: 16.225552, acc: 0%] [G loss: 1.471911] --------------- Epoch 115 ---------------
115 [D loss: 15.733477, acc: 0%] [G loss: 1.945024] --------------- Epoch 116 ---------------
116 [D loss: 16.136080, acc: 0%] [G loss: 1.754574] --------------- Epoch 117 ---------------
117 [D loss: 15.977145, acc: 0%] [G loss: 1.668159] --------------- Epoch 118 ---------------
118 [D loss: 16.049406, acc: 0%] [G loss: 1.583157] --------------- Epoch 119 ---------------
119 [D loss: 15.330503, acc: 0%] [G loss: 1.583531] --------------- Epoch 120 ---------------
120 [D loss: 15.871789, acc: 0%] [G loss: 1.215462]
--------------- Epoch 121 ---------------
121 [D loss: 15.912038, acc: 0%] [G loss: 1.408618] --------------- Epoch 122 ---------------
122 [D loss: 15.560574, acc: 0%] [G loss: 1.459442] --------------- Epoch 123 ---------------
123 [D loss: 16.069984, acc: 0%] [G loss: 1.860148] --------------- Epoch 124 ---------------
124 [D loss: 16.248764, acc: 0%] [G loss: 1.268758] --------------- Epoch 125 ---------------
125 [D loss: 16.229454, acc: 0%] [G loss: 1.634041] --------------- Epoch 126 ---------------
126 [D loss: 16.413284, acc: 0%] [G loss: 1.420234] --------------- Epoch 127 ---------------
127 [D loss: 15.673954, acc: 0%] [G loss: 1.605676] --------------- Epoch 128 ---------------
128 [D loss: 15.823676, acc: 0%] [G loss: 1.889498] --------------- Epoch 129 ---------------
129 [D loss: 15.816111, acc: 0%] [G loss: 1.378890] --------------- Epoch 130 ---------------
130 [D loss: 15.880013, acc: 0%] [G loss: 1.542909]
--------------- Epoch 131 ---------------
131 [D loss: 16.269768, acc: 0%] [G loss: 1.329509] --------------- Epoch 132 ---------------
132 [D loss: 16.089855, acc: 0%] [G loss: 1.760567] --------------- Epoch 133 ---------------
133 [D loss: 15.559754, acc: 0%] [G loss: 1.844723] --------------- Epoch 134 ---------------
134 [D loss: 15.896524, acc: 0%] [G loss: 1.924232] --------------- Epoch 135 ---------------
135 [D loss: 16.731573, acc: 0%] [G loss: 1.697971] --------------- Epoch 136 ---------------
136 [D loss: 16.697296, acc: 0%] [G loss: 1.576626] --------------- Epoch 137 ---------------
137 [D loss: 15.894840, acc: 0%] [G loss: 1.777692] --------------- Epoch 138 ---------------
138 [D loss: 15.776573, acc: 0%] [G loss: 1.906960] --------------- Epoch 139 ---------------
139 [D loss: 15.930618, acc: 0%] [G loss: 1.452888] --------------- Epoch 140 ---------------
140 [D loss: 16.121452, acc: 0%] [G loss: 1.443377]
--------------- Epoch 141 ---------------
141 [D loss: 16.348385, acc: 0%] [G loss: 1.408008] --------------- Epoch 142 ---------------
142 [D loss: 15.964083, acc: 0%] [G loss: 1.646885] --------------- Epoch 143 ---------------
143 [D loss: 15.885070, acc: 0%] [G loss: 1.626783] --------------- Epoch 144 ---------------
144 [D loss: 15.872102, acc: 0%] [G loss: 1.470548] --------------- Epoch 145 ---------------
145 [D loss: 16.652235, acc: 0%] [G loss: 1.712988] --------------- Epoch 146 ---------------
146 [D loss: 16.353491, acc: 0%] [G loss: 1.710233] --------------- Epoch 147 ---------------
147 [D loss: 15.861475, acc: 0%] [G loss: 1.444224] --------------- Epoch 148 ---------------
148 [D loss: 16.106487, acc: 0%] [G loss: 1.598367] --------------- Epoch 149 ---------------
149 [D loss: 15.868346, acc: 0%] [G loss: 1.388390] --------------- Epoch 150 ---------------
150 [D loss: 15.604406, acc: 0%] [G loss: 1.398530]
--------------- Epoch 151 ---------------
151 [D loss: 15.753942, acc: 0%] [G loss: 1.700093] --------------- Epoch 152 ---------------
152 [D loss: 15.855124, acc: 0%] [G loss: 1.543508] --------------- Epoch 153 ---------------
153 [D loss: 15.814215, acc: 0%] [G loss: 1.436910] --------------- Epoch 154 ---------------
154 [D loss: 15.957285, acc: 0%] [G loss: 1.640898] --------------- Epoch 155 ---------------
155 [D loss: 16.211514, acc: 0%] [G loss: 1.489065] --------------- Epoch 156 ---------------
156 [D loss: 15.824558, acc: 0%] [G loss: 2.070922] --------------- Epoch 157 ---------------
157 [D loss: 16.068790, acc: 0%] [G loss: 1.855699] --------------- Epoch 158 ---------------
158 [D loss: 15.849420, acc: 0%] [G loss: 1.468984] --------------- Epoch 159 ---------------
159 [D loss: 16.255329, acc: 0%] [G loss: 1.532225] --------------- Epoch 160 ---------------
160 [D loss: 16.548918, acc: 0%] [G loss: 1.590760]
--------------- Epoch 161 ---------------
161 [D loss: 15.697768, acc: 0%] [G loss: 1.797382] --------------- Epoch 162 ---------------
162 [D loss: 15.509221, acc: 0%] [G loss: 1.298065] --------------- Epoch 163 ---------------
163 [D loss: 15.612037, acc: 0%] [G loss: 1.706306] --------------- Epoch 164 ---------------
164 [D loss: 16.214521, acc: 0%] [G loss: 1.559510] --------------- Epoch 165 ---------------
165 [D loss: 15.843839, acc: 0%] [G loss: 1.611494] --------------- Epoch 166 ---------------
166 [D loss: 15.916102, acc: 0%] [G loss: 1.297909] --------------- Epoch 167 ---------------
167 [D loss: 16.225847, acc: 0%] [G loss: 1.695442] --------------- Epoch 168 ---------------
168 [D loss: 15.929594, acc: 0%] [G loss: 1.852150] --------------- Epoch 169 ---------------
169 [D loss: 15.626062, acc: 0%] [G loss: 1.394384] --------------- Epoch 170 ---------------
170 [D loss: 16.102661, acc: 0%] [G loss: 1.819010]
--------------- Epoch 171 ---------------
171 [D loss: 16.155357, acc: 0%] [G loss: 1.619435] --------------- Epoch 172 ---------------
172 [D loss: 15.638395, acc: 0%] [G loss: 1.472422] --------------- Epoch 173 ---------------
173 [D loss: 15.697719, acc: 0%] [G loss: 1.745772] --------------- Epoch 174 ---------------
174 [D loss: 15.643806, acc: 0%] [G loss: 1.703757] --------------- Epoch 175 ---------------
175 [D loss: 15.875886, acc: 0%] [G loss: 1.742798] --------------- Epoch 176 ---------------
176 [D loss: 15.927452, acc: 0%] [G loss: 2.043914] --------------- Epoch 177 ---------------
177 [D loss: 15.690166, acc: 0%] [G loss: 1.793196] --------------- Epoch 178 ---------------
178 [D loss: 15.960705, acc: 0%] [G loss: 1.726211] --------------- Epoch 179 ---------------
179 [D loss: 15.693514, acc: 0%] [G loss: 1.657142] --------------- Epoch 180 ---------------
180 [D loss: 15.856592, acc: 0%] [G loss: 1.640172]
--------------- Epoch 181 ---------------
181 [D loss: 15.848130, acc: 0%] [G loss: 1.614639] --------------- Epoch 182 ---------------
182 [D loss: 16.186926, acc: 0%] [G loss: 1.917035] --------------- Epoch 183 ---------------
183 [D loss: 15.760093, acc: 0%] [G loss: 1.577630] --------------- Epoch 184 ---------------
184 [D loss: 15.934226, acc: 0%] [G loss: 1.502025] --------------- Epoch 185 ---------------
185 [D loss: 15.471413, acc: 0%] [G loss: 1.432598] --------------- Epoch 186 ---------------
186 [D loss: 15.810109, acc: 0%] [G loss: 1.699244] --------------- Epoch 187 ---------------
187 [D loss: 16.013363, acc: 0%] [G loss: 1.822517] --------------- Epoch 188 ---------------
188 [D loss: 16.401882, acc: 0%] [G loss: 1.742430] --------------- Epoch 189 ---------------
189 [D loss: 16.275211, acc: 0%] [G loss: 1.401868] --------------- Epoch 190 ---------------
190 [D loss: 15.532837, acc: 0%] [G loss: 1.949976]
--------------- Epoch 191 ---------------
191 [D loss: 16.155693, acc: 0%] [G loss: 1.587784] --------------- Epoch 192 ---------------
192 [D loss: 16.157253, acc: 0%] [G loss: 2.195089] --------------- Epoch 193 ---------------
193 [D loss: 15.983495, acc: 0%] [G loss: 1.839056] --------------- Epoch 194 ---------------
194 [D loss: 16.163221, acc: 0%] [G loss: 1.465165] --------------- Epoch 195 ---------------
195 [D loss: 15.922903, acc: 0%] [G loss: 1.406927] --------------- Epoch 196 ---------------
196 [D loss: 15.976225, acc: 0%] [G loss: 1.323443] --------------- Epoch 197 ---------------
197 [D loss: 15.971405, acc: 0%] [G loss: 1.647563] --------------- Epoch 198 ---------------
198 [D loss: 15.229906, acc: 0%] [G loss: 1.691268] --------------- Epoch 199 ---------------
199 [D loss: 15.833257, acc: 0%] [G loss: 1.398200] --------------- Epoch 200 ---------------
200 [D loss: 15.445384, acc: 0%] [G loss: 1.465361]
########## N units 64 ########## generator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_66 (LSTM) (None, 50, 64) 17920 _________________________________________________________________ dropout_63 (Dropout) (None, 50, 64) 0 _________________________________________________________________ time_distributed_40 (TimeDis (None, 50, 2) 130 ================================================================= Total params: 18,050 Trainable params: 18,050 Non-trainable params: 0 _________________________________________________________________ None discriminator _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= lstm_67 (LSTM) (None, 50, 64) 17152 _________________________________________________________________ dropout_64 (Dropout) (None, 50, 64) 0 _________________________________________________________________ time_distributed_41 (TimeDis (None, 50, 1) 65 _________________________________________________________________ average_pooling1d_22 (Averag (None, 1, 1) 0 _________________________________________________________________ flatten_22 (Flatten) (None, 1) 0 ================================================================= Total params: 17,217 Trainable params: 17,217 Non-trainable params: 0 _________________________________________________________________ None GAN _________________________________________________________________ Layer (type) Output Shape Param # ================================================================= input_22 (InputLayer) (None, 50, 5) 0 _________________________________________________________________ sequential_43 (Sequential) (None, 50, 2) 18050 _________________________________________________________________ sequential_44 (Sequential) (None, 1) 17217 ================================================================= Total params: 35,267 Trainable params: 18,050 Non-trainable params: 17,217 _________________________________________________________________ None --------------- Epoch 1 ---------------
1 [D loss: 15.919559, acc: 0%] [G loss: 1.408713]
--------------- Epoch 2 ---------------
2 [D loss: 15.662755, acc: 0%] [G loss: 1.560920] --------------- Epoch 3 ---------------
3 [D loss: 15.431039, acc: 0%] [G loss: 1.588288] --------------- Epoch 4 ---------------
4 [D loss: 15.650792, acc: 0%] [G loss: 1.511834] --------------- Epoch 5 ---------------
5 [D loss: 16.036526, acc: 0%] [G loss: 1.614751] --------------- Epoch 6 ---------------
6 [D loss: 16.429308, acc: 0%] [G loss: 1.623236] --------------- Epoch 7 ---------------
7 [D loss: 16.224594, acc: 0%] [G loss: 1.451097] --------------- Epoch 8 ---------------
8 [D loss: 15.922357, acc: 0%] [G loss: 1.614773] --------------- Epoch 9 ---------------
9 [D loss: 15.848824, acc: 0%] [G loss: 1.516115] --------------- Epoch 10 ---------------
10 [D loss: 15.360256, acc: 0%] [G loss: 1.541890]
--------------- Epoch 11 ---------------
11 [D loss: 15.901499, acc: 0%] [G loss: 1.499716] --------------- Epoch 12 ---------------
12 [D loss: 15.737226, acc: 0%] [G loss: 1.661892] --------------- Epoch 13 ---------------
13 [D loss: 15.601904, acc: 0%] [G loss: 1.500616] --------------- Epoch 14 ---------------
14 [D loss: 15.710213, acc: 0%] [G loss: 1.637842] --------------- Epoch 15 ---------------
15 [D loss: 16.046261, acc: 0%] [G loss: 1.617872] --------------- Epoch 16 ---------------
16 [D loss: 16.112753, acc: 0%] [G loss: 1.914837] --------------- Epoch 17 ---------------
17 [D loss: 16.076302, acc: 0%] [G loss: 1.583585] --------------- Epoch 18 ---------------
18 [D loss: 15.821032, acc: 0%] [G loss: 1.833083] --------------- Epoch 19 ---------------
19 [D loss: 15.995583, acc: 0%] [G loss: 1.509647] --------------- Epoch 20 ---------------
20 [D loss: 15.991502, acc: 0%] [G loss: 1.975930]
--------------- Epoch 21 ---------------
21 [D loss: 15.865708, acc: 0%] [G loss: 1.573542] --------------- Epoch 22 ---------------
22 [D loss: 15.632617, acc: 0%] [G loss: 1.653433] --------------- Epoch 23 ---------------
23 [D loss: 15.443535, acc: 0%] [G loss: 1.452587] --------------- Epoch 24 ---------------
24 [D loss: 15.702106, acc: 0%] [G loss: 1.789833] --------------- Epoch 25 ---------------
25 [D loss: 15.975422, acc: 0%] [G loss: 2.002794] --------------- Epoch 26 ---------------
26 [D loss: 15.974027, acc: 0%] [G loss: 1.859814] --------------- Epoch 27 ---------------
27 [D loss: 16.192223, acc: 0%] [G loss: 1.525907] --------------- Epoch 28 ---------------
28 [D loss: 16.139206, acc: 0%] [G loss: 1.738470] --------------- Epoch 29 ---------------
29 [D loss: 16.077127, acc: 0%] [G loss: 1.470239] --------------- Epoch 30 ---------------
30 [D loss: 16.097239, acc: 0%] [G loss: 1.462672]
--------------- Epoch 31 ---------------
31 [D loss: 15.978188, acc: 0%] [G loss: 1.493746] --------------- Epoch 32 ---------------
32 [D loss: 15.813176, acc: 0%] [G loss: 1.477322] --------------- Epoch 33 ---------------
33 [D loss: 16.082872, acc: 0%] [G loss: 1.793746] --------------- Epoch 34 ---------------
34 [D loss: 16.215590, acc: 0%] [G loss: 1.688084] --------------- Epoch 35 ---------------
35 [D loss: 16.030882, acc: 0%] [G loss: 1.949533] --------------- Epoch 36 ---------------
36 [D loss: 15.719958, acc: 0%] [G loss: 1.333581] --------------- Epoch 37 ---------------
37 [D loss: 15.886467, acc: 0%] [G loss: 1.372330] --------------- Epoch 38 ---------------
38 [D loss: 15.657475, acc: 0%] [G loss: 1.609871] --------------- Epoch 39 ---------------
39 [D loss: 15.903374, acc: 0%] [G loss: 1.645880] --------------- Epoch 40 ---------------
40 [D loss: 16.195477, acc: 0%] [G loss: 1.755054]
--------------- Epoch 41 ---------------
41 [D loss: 16.177351, acc: 0%] [G loss: 1.830838] --------------- Epoch 42 ---------------
42 [D loss: 15.609878, acc: 0%] [G loss: 1.832396] --------------- Epoch 43 ---------------
43 [D loss: 15.872885, acc: 0%] [G loss: 1.624275] --------------- Epoch 44 ---------------
44 [D loss: 16.496944, acc: 0%] [G loss: 1.418241] --------------- Epoch 45 ---------------
45 [D loss: 16.056620, acc: 0%] [G loss: 1.342654] --------------- Epoch 46 ---------------
46 [D loss: 15.571651, acc: 0%] [G loss: 1.667595] --------------- Epoch 47 ---------------
47 [D loss: 15.274197, acc: 0%] [G loss: 1.435638] --------------- Epoch 48 ---------------
48 [D loss: 15.998304, acc: 0%] [G loss: 1.367238] --------------- Epoch 49 ---------------
49 [D loss: 15.954995, acc: 0%] [G loss: 1.612247] --------------- Epoch 50 ---------------
50 [D loss: 15.886927, acc: 0%] [G loss: 1.589144]
--------------- Epoch 51 ---------------
51 [D loss: 16.070580, acc: 0%] [G loss: 1.345038] --------------- Epoch 52 ---------------
52 [D loss: 16.437822, acc: 0%] [G loss: 1.680984] --------------- Epoch 53 ---------------
53 [D loss: 16.119823, acc: 0%] [G loss: 1.750123] --------------- Epoch 54 ---------------
54 [D loss: 15.953939, acc: 0%] [G loss: 1.176481] --------------- Epoch 55 ---------------
55 [D loss: 16.192568, acc: 0%] [G loss: 1.624898] --------------- Epoch 56 ---------------
56 [D loss: 15.947477, acc: 0%] [G loss: 1.796298] --------------- Epoch 57 ---------------
57 [D loss: 15.668966, acc: 0%] [G loss: 1.590094] --------------- Epoch 58 ---------------
58 [D loss: 16.531397, acc: 0%] [G loss: 1.290874] --------------- Epoch 59 ---------------
59 [D loss: 15.541404, acc: 0%] [G loss: 1.531675] --------------- Epoch 60 ---------------
60 [D loss: 16.459610, acc: 0%] [G loss: 1.234609]
--------------- Epoch 61 ---------------
61 [D loss: 15.842582, acc: 0%] [G loss: 1.759958] --------------- Epoch 62 ---------------
62 [D loss: 15.963490, acc: 0%] [G loss: 1.646479] --------------- Epoch 63 ---------------
63 [D loss: 16.212824, acc: 0%] [G loss: 1.288865] --------------- Epoch 64 ---------------
64 [D loss: 15.997873, acc: 0%] [G loss: 1.673416] --------------- Epoch 65 ---------------
65 [D loss: 15.987232, acc: 0%] [G loss: 1.498348] --------------- Epoch 66 ---------------
66 [D loss: 15.819345, acc: 0%] [G loss: 1.726533] --------------- Epoch 67 ---------------
67 [D loss: 15.762268, acc: 0%] [G loss: 1.701906] --------------- Epoch 68 ---------------
68 [D loss: 16.070845, acc: 0%] [G loss: 1.300885] --------------- Epoch 69 ---------------
69 [D loss: 15.955468, acc: 0%] [G loss: 1.336236] --------------- Epoch 70 ---------------
70 [D loss: 16.229549, acc: 0%] [G loss: 1.540080]
--------------- Epoch 71 ---------------
71 [D loss: 15.918986, acc: 0%] [G loss: 1.812367] --------------- Epoch 72 ---------------
72 [D loss: 15.756455, acc: 0%] [G loss: 1.570190] --------------- Epoch 73 ---------------
73 [D loss: 16.181068, acc: 0%] [G loss: 1.799763] --------------- Epoch 74 ---------------
74 [D loss: 16.035162, acc: 0%] [G loss: 1.468481] --------------- Epoch 75 ---------------
75 [D loss: 16.155268, acc: 0%] [G loss: 1.657441] --------------- Epoch 76 ---------------
76 [D loss: 15.991613, acc: 0%] [G loss: 1.622384] --------------- Epoch 77 ---------------
77 [D loss: 15.633555, acc: 0%] [G loss: 1.511959] --------------- Epoch 78 ---------------
78 [D loss: 15.998829, acc: 0%] [G loss: 1.589947] --------------- Epoch 79 ---------------
79 [D loss: 15.907543, acc: 0%] [G loss: 1.405650] --------------- Epoch 80 ---------------
80 [D loss: 15.900762, acc: 0%] [G loss: 1.445697]
--------------- Epoch 81 ---------------
81 [D loss: 16.084301, acc: 0%] [G loss: 1.465347] --------------- Epoch 82 ---------------
82 [D loss: 15.903255, acc: 0%] [G loss: 1.498177] --------------- Epoch 83 ---------------
83 [D loss: 16.452591, acc: 0%] [G loss: 0.819480] --------------- Epoch 84 ---------------
84 [D loss: 15.814860, acc: 0%] [G loss: 1.639249] --------------- Epoch 85 ---------------
85 [D loss: 16.092628, acc: 0%] [G loss: 1.300482] --------------- Epoch 86 ---------------
86 [D loss: 15.731277, acc: 0%] [G loss: 1.378483] --------------- Epoch 87 ---------------
87 [D loss: 15.833070, acc: 0%] [G loss: 1.355763] --------------- Epoch 88 ---------------
88 [D loss: 15.448348, acc: 0%] [G loss: 1.428129] --------------- Epoch 89 ---------------
89 [D loss: 15.981375, acc: 0%] [G loss: 1.760863] --------------- Epoch 90 ---------------
90 [D loss: 16.203699, acc: 0%] [G loss: 1.602599]
--------------- Epoch 91 ---------------
91 [D loss: 16.193975, acc: 0%] [G loss: 1.233378] --------------- Epoch 92 ---------------
92 [D loss: 15.885591, acc: 0%] [G loss: 1.898912] --------------- Epoch 93 ---------------
93 [D loss: 15.869398, acc: 0%] [G loss: 1.700226] --------------- Epoch 94 ---------------
94 [D loss: 16.181063, acc: 0%] [G loss: 1.022392] --------------- Epoch 95 ---------------
95 [D loss: 16.074770, acc: 0%] [G loss: 1.560534] --------------- Epoch 96 ---------------
96 [D loss: 15.658441, acc: 0%] [G loss: 1.342826] --------------- Epoch 97 ---------------
97 [D loss: 15.712294, acc: 0%] [G loss: 1.579782] --------------- Epoch 98 ---------------
98 [D loss: 15.899879, acc: 0%] [G loss: 1.941209] --------------- Epoch 99 ---------------
99 [D loss: 15.742855, acc: 0%] [G loss: 1.518406] --------------- Epoch 100 ---------------
100 [D loss: 15.465937, acc: 0%] [G loss: 1.666050]
--------------- Epoch 101 ---------------
101 [D loss: 15.935230, acc: 0%] [G loss: 1.690354] --------------- Epoch 102 ---------------
102 [D loss: 16.093264, acc: 0%] [G loss: 1.679998] --------------- Epoch 103 ---------------
103 [D loss: 15.868736, acc: 0%] [G loss: 2.038069] --------------- Epoch 104 ---------------
104 [D loss: 15.761224, acc: 0%] [G loss: 1.562603] --------------- Epoch 105 ---------------
105 [D loss: 15.971940, acc: 0%] [G loss: 1.785896] --------------- Epoch 106 ---------------
106 [D loss: 15.790472, acc: 0%] [G loss: 1.437379] --------------- Epoch 107 ---------------
107 [D loss: 16.004271, acc: 0%] [G loss: 1.447667] --------------- Epoch 108 ---------------
108 [D loss: 16.068192, acc: 0%] [G loss: 1.519467] --------------- Epoch 109 ---------------
109 [D loss: 16.100119, acc: 0%] [G loss: 1.574075] --------------- Epoch 110 ---------------
110 [D loss: 15.807134, acc: 0%] [G loss: 1.527737]
--------------- Epoch 111 ---------------
111 [D loss: 15.700272, acc: 0%] [G loss: 1.750741] --------------- Epoch 112 ---------------
112 [D loss: 15.879895, acc: 0%] [G loss: 1.372429] --------------- Epoch 113 ---------------
113 [D loss: 15.881604, acc: 0%] [G loss: 1.218755] --------------- Epoch 114 ---------------
114 [D loss: 16.046307, acc: 0%] [G loss: 1.534242] --------------- Epoch 115 ---------------
115 [D loss: 15.595766, acc: 0%] [G loss: 1.596093] --------------- Epoch 116 ---------------
116 [D loss: 16.051966, acc: 0%] [G loss: 1.531015] --------------- Epoch 117 ---------------
117 [D loss: 16.218559, acc: 0%] [G loss: 1.477148] --------------- Epoch 118 ---------------
118 [D loss: 16.026295, acc: 0%] [G loss: 1.501458] --------------- Epoch 119 ---------------
119 [D loss: 16.059650, acc: 0%] [G loss: 1.341848] --------------- Epoch 120 ---------------
120 [D loss: 16.135519, acc: 0%] [G loss: 1.336418]
--------------- Epoch 121 ---------------
121 [D loss: 15.838229, acc: 0%] [G loss: 1.206351] --------------- Epoch 122 ---------------
122 [D loss: 15.719488, acc: 0%] [G loss: 1.515192] --------------- Epoch 123 ---------------
123 [D loss: 16.174820, acc: 0%] [G loss: 1.793731] --------------- Epoch 124 ---------------
124 [D loss: 15.903509, acc: 0%] [G loss: 1.861339] --------------- Epoch 125 ---------------
125 [D loss: 16.044739, acc: 0%] [G loss: 1.546402] --------------- Epoch 126 ---------------
126 [D loss: 16.516518, acc: 0%] [G loss: 1.650944] --------------- Epoch 127 ---------------
127 [D loss: 15.959034, acc: 0%] [G loss: 1.363625] --------------- Epoch 128 ---------------
128 [D loss: 15.794064, acc: 0%] [G loss: 1.900916] --------------- Epoch 129 ---------------
129 [D loss: 15.534899, acc: 0%] [G loss: 1.601925] --------------- Epoch 130 ---------------
130 [D loss: 16.212870, acc: 0%] [G loss: 1.520173]
--------------- Epoch 131 ---------------
131 [D loss: 16.174942, acc: 0%] [G loss: 1.625221] --------------- Epoch 132 ---------------
132 [D loss: 15.530769, acc: 0%] [G loss: 1.470120] --------------- Epoch 133 ---------------
133 [D loss: 15.818734, acc: 0%] [G loss: 1.574998] --------------- Epoch 134 ---------------
134 [D loss: 15.849533, acc: 0%] [G loss: 1.874682] --------------- Epoch 135 ---------------
135 [D loss: 15.960468, acc: 0%] [G loss: 1.175879] --------------- Epoch 136 ---------------
136 [D loss: 15.754844, acc: 0%] [G loss: 1.642629] --------------- Epoch 137 ---------------
137 [D loss: 16.200893, acc: 0%] [G loss: 1.693633] --------------- Epoch 138 ---------------
138 [D loss: 16.238588, acc: 0%] [G loss: 1.656381] --------------- Epoch 139 ---------------
139 [D loss: 16.136482, acc: 0%] [G loss: 1.739968] --------------- Epoch 140 ---------------
140 [D loss: 15.800255, acc: 0%] [G loss: 1.721807]
--------------- Epoch 141 ---------------
141 [D loss: 16.200911, acc: 0%] [G loss: 1.711083] --------------- Epoch 142 ---------------
142 [D loss: 16.102509, acc: 0%] [G loss: 1.579713] --------------- Epoch 143 ---------------
143 [D loss: 15.474085, acc: 0%] [G loss: 1.650602] --------------- Epoch 144 ---------------
144 [D loss: 15.259395, acc: 0%] [G loss: 1.849665] --------------- Epoch 145 ---------------
145 [D loss: 16.267006, acc: 0%] [G loss: 1.647975] --------------- Epoch 146 ---------------
146 [D loss: 15.809683, acc: 0%] [G loss: 1.593054] --------------- Epoch 147 ---------------
147 [D loss: 15.714068, acc: 0%] [G loss: 1.319760] --------------- Epoch 148 ---------------
148 [D loss: 15.913931, acc: 0%] [G loss: 1.492082] --------------- Epoch 149 ---------------
149 [D loss: 16.102200, acc: 0%] [G loss: 1.805519] --------------- Epoch 150 ---------------
150 [D loss: 15.832059, acc: 0%] [G loss: 1.743266]
--------------- Epoch 151 ---------------
151 [D loss: 16.200043, acc: 0%] [G loss: 1.433404] --------------- Epoch 152 ---------------
152 [D loss: 15.706372, acc: 0%] [G loss: 1.300685] --------------- Epoch 153 ---------------
153 [D loss: 15.704783, acc: 0%] [G loss: 1.457997] --------------- Epoch 154 ---------------
154 [D loss: 15.379781, acc: 0%] [G loss: 1.534380] --------------- Epoch 155 ---------------
155 [D loss: 16.095020, acc: 0%] [G loss: 1.811668] --------------- Epoch 156 ---------------
156 [D loss: 15.672408, acc: 0%] [G loss: 1.761770] --------------- Epoch 157 ---------------
157 [D loss: 16.242956, acc: 0%] [G loss: 1.570962] --------------- Epoch 158 ---------------
158 [D loss: 15.767841, acc: 0%] [G loss: 1.511964] --------------- Epoch 159 ---------------
159 [D loss: 15.929812, acc: 0%] [G loss: 1.399764] --------------- Epoch 160 ---------------
160 [D loss: 15.741736, acc: 0%] [G loss: 1.549856]
--------------- Epoch 161 ---------------
161 [D loss: 16.283358, acc: 0%] [G loss: 1.447834] --------------- Epoch 162 ---------------
162 [D loss: 16.089096, acc: 0%] [G loss: 1.377613] --------------- Epoch 163 ---------------
163 [D loss: 15.515229, acc: 0%] [G loss: 1.642902] --------------- Epoch 164 ---------------
164 [D loss: 16.041775, acc: 0%] [G loss: 1.564546] --------------- Epoch 165 ---------------
165 [D loss: 16.070126, acc: 0%] [G loss: 1.683293] --------------- Epoch 166 ---------------
166 [D loss: 16.182945, acc: 0%] [G loss: 1.402201] --------------- Epoch 167 ---------------
167 [D loss: 15.576828, acc: 0%] [G loss: 1.783360] --------------- Epoch 168 ---------------
168 [D loss: 15.834699, acc: 0%] [G loss: 1.703666] --------------- Epoch 169 ---------------
169 [D loss: 15.748823, acc: 0%] [G loss: 1.544891] --------------- Epoch 170 ---------------
170 [D loss: 15.833146, acc: 0%] [G loss: 1.786496]
--------------- Epoch 171 ---------------
171 [D loss: 16.348080, acc: 0%] [G loss: 1.701656] --------------- Epoch 172 ---------------
172 [D loss: 16.056671, acc: 0%] [G loss: 1.885243] --------------- Epoch 173 ---------------
173 [D loss: 15.697167, acc: 0%] [G loss: 1.460023] --------------- Epoch 174 ---------------
174 [D loss: 15.922980, acc: 0%] [G loss: 1.621078] --------------- Epoch 175 ---------------
175 [D loss: 16.255064, acc: 0%] [G loss: 1.739458] --------------- Epoch 176 ---------------
176 [D loss: 15.866642, acc: 0%] [G loss: 1.512241] --------------- Epoch 177 ---------------
177 [D loss: 16.262564, acc: 0%] [G loss: 1.479320] --------------- Epoch 178 ---------------
178 [D loss: 16.151318, acc: 0%] [G loss: 1.851243] --------------- Epoch 179 ---------------
179 [D loss: 15.864118, acc: 0%] [G loss: 1.598876] --------------- Epoch 180 ---------------
180 [D loss: 16.254538, acc: 0%] [G loss: 1.591578]
--------------- Epoch 181 ---------------
181 [D loss: 16.030603, acc: 0%] [G loss: 1.611927] --------------- Epoch 182 ---------------
182 [D loss: 15.662592, acc: 0%] [G loss: 1.599955] --------------- Epoch 183 ---------------
183 [D loss: 16.118004, acc: 0%] [G loss: 1.535650] --------------- Epoch 184 ---------------
184 [D loss: 15.843777, acc: 0%] [G loss: 1.397636] --------------- Epoch 185 ---------------
185 [D loss: 16.091202, acc: 0%] [G loss: 1.753410] --------------- Epoch 186 ---------------
186 [D loss: 15.630193, acc: 0%] [G loss: 1.592940] --------------- Epoch 187 ---------------
187 [D loss: 16.116283, acc: 0%] [G loss: 1.407438] --------------- Epoch 188 ---------------
188 [D loss: 15.738949, acc: 0%] [G loss: 1.523242] --------------- Epoch 189 ---------------
189 [D loss: 16.001057, acc: 0%] [G loss: 1.555120] --------------- Epoch 190 ---------------
190 [D loss: 15.990858, acc: 0%] [G loss: 1.739020]
--------------- Epoch 191 ---------------
191 [D loss: 15.916818, acc: 0%] [G loss: 1.718347] --------------- Epoch 192 ---------------
192 [D loss: 15.815706, acc: 0%] [G loss: 1.368264] --------------- Epoch 193 ---------------
193 [D loss: 15.776003, acc: 0%] [G loss: 1.733399] --------------- Epoch 194 ---------------
194 [D loss: 15.709784, acc: 0%] [G loss: 1.681009] --------------- Epoch 195 ---------------
195 [D loss: 15.728071, acc: 0%] [G loss: 1.456653] --------------- Epoch 196 ---------------
196 [D loss: 15.660630, acc: 0%] [G loss: 1.503509] --------------- Epoch 197 ---------------
197 [D loss: 15.724030, acc: 0%] [G loss: 1.652249] --------------- Epoch 198 ---------------
198 [D loss: 15.823837, acc: 0%] [G loss: 1.452961] --------------- Epoch 199 ---------------
199 [D loss: 15.691634, acc: 0%] [G loss: 1.605959] --------------- Epoch 200 ---------------
200 [D loss: 15.860080, acc: 0%] [G loss: 1.566014]